Patent Grant
10664490
The present disclosure relates to systems and techniques for querying databases and displaying queried data in an interactive user interface.
A database may store a large quantity of data. For example, a system may comprise a large number of sensors that each collect measurements at regular intervals, and the measurements may be stored in the database. The measurement data can be supplemented with other data, such as information regarding events that occurred while the system was operational, and the supplemental data can also be stored in the database.
In some cases, a user may attempt to analyze a portion of the stored data. For example, the user may attempt to analyze a portion of the stored data that is associated with a specific time period. However, as the number of measurements increases over time, it can become very difficult for the user to identify the relevant data and perform the analysis.
The systems, methods, and devices described herein each have several aspects, no single one of which is solely responsible for its desirable attributes. Without limiting the scope of this disclosure, several non-limiting features will now be discussed briefly.
Disclosed herein are various systems and methods for displaying various graphs in interactive user interfaces. In some embodiments, the interactive user interfaces may display data assets from a plurality of different applications and/or data sources. The data corresponding to the data assets may include graphs (as described below), interactive objects, images, documents, and/or other types of data. A collection of data assets to be displayed on the interactive user interface may be referred to as a “project.”
In some embodiments, a project may comprise a collection of links specifying data to be displayed from the plurality of different applications and/or data sources. In some embodiments, a link may comprise display parameters specifying the data to be displayed, and also how the data is to be displayed. When loading a project for display, the links may be automatically parsed to identify the application and/or data source they are associated with. In some embodiments, a plug-in corresponding to a particular application or data source may be used to retrieve requested data using an identified link associated with application or data source. For example, a link corresponding to data to be displayed as one or more graphs may be parsed to determine that it is associated with a graph application. A plug-in corresponding to the graph application may be used to access the graph application to retrieve, display, and format the requested data.
In some embodiments, retrieved data may be displayed in a format based upon that of their native application. For example, the format of the displayed data may reflect a look and feel of the native application from which the data was retrieved. The data may be displayed in an interactive format, allowing the user to change or manipulate the data in a manner that would be possible in the data's native application. For example, the project may contain at least a first and second link, wherein data for the first link comprises one or more time-series graphs retrieved from a graph application. The user may be able to perform manipulations on the displayed graphs using the interactive user interface that correspond to manipulations that the user would have been able to perform using the graph application (e.g., zooming or scrolling through a graph, setting markers on a graph, associating events with data points in a graph, and/or the like). Data for the second link may comprise data from a second, different application, wherein the user is able to perform different manipulations based upon types of manipulations that could be performed in the second application. In some embodiments, the data may be displayed in a format that is different from its native application.
In some embodiments, the user may be able to manipulate or change the displayed data. In order to persist the changes to the data, a new link for the manipulated or changed data may be generated and associated with the project. In some embodiment, a project may be expressed as a “project link,” comprising a text string, wherein the links of the assets associated with the project are included or embedded within the text string. The project link may be shared between different users, and may function as a snapshot of the project. For example, as different users modify or update the project, new links may be generated that reflect the updated or modified project. On the other hand, the original project link may still be used to load the project in the state it was in at the time the original project link was created.
The systems and methods described herein may provide several benefits. For example, the systems and methods described herein may allow the user to more easily gather and aggregate data from various different sources, without sacrificing the interactivity of the data when displayed in their native applications. By allowing the user to specify, view, and interact with different types of data from different sources in a single interface, the user may be able to better gather information, identify trends or correlations, and form a more complete picture of a topic or entity of interest. For example, a user may specify for display one or more graphs containing sensor data associated with an entity of interest during a time period of interest, one or more links to news articles or reports relating to the entity during the time period, one or more images taken of the entity during the time period, and/or the like, in order to provide a more complete picture of the entity of interest during the time period of interest. In addition, the user may be able to generate an easily sharable “project link” corresponding to the gathered data. The project link may also function as a snapshot of the project at the time the project link was generated. As such, the user to able to more quickly and accurately access, navigate, assess, and digest the data than previous systems, potentially providing reduced mental workloads, improved decision-making, reduced work stress, and/or the like, for the user.
It has been noted that design of computer user interfaces “that are useable and easily learned by humans is a non-trivial problem for software developers.” (Dillon, A. (2003) User Interface Design. MacMillan Encyclopedia of Cognitive Science, Vol. 4, London: MacMillan, 453-458.) The present disclosure describes various embodiments of interactive and dynamic user interfaces that are the result of significant development. This non-trivial development has resulted in the user interfaces described herein which may provide significant cognitive and ergonomic efficiencies and advantages over previous systems. The interactive and dynamic user interfaces include improved human-computer interactions that may provide reduced mental workloads, improved decision-making, reduced work stress, and/or the like, for a user. For example, user interaction with the interactive user interface via the inputs described herein may provide an optimized display of, and interaction with, graph data, image data, and/or other data, and may enable a user to more quickly and accurately access, navigate, assess, and digest the data than previous systems.
Further, the interactive and dynamic user interfaces described herein are enabled by innovations in efficient interactions between the user interfaces and underlying systems and components. For example, disclosed herein are improved methods of receiving user inputs (including methods of interacting with, and selecting, images, graphs, and other types of data), translation and delivery of those inputs to various system components, automatic and dynamic execution of complex processes in response to the input delivery, automatic interaction among various components and processes of the system, and automatic and dynamic updating of the user interfaces (to, for example, display the relevant data from various different applications and/or data sources). The interactions and presentation of data via the interactive user interfaces described herein may accordingly provide cognitive and ergonomic efficiencies and advantages over previous systems.
Various embodiments of the present disclosure provide improvements to various technologies and technological fields. For example, existing data aggregation and analysis technology is limited in various ways (e.g., limited in the types of applications or data sources the data may be drawn from, loss of data interactivity, etc.), and various embodiments of the disclosure provide significant improvements over such technology. Additionally, various embodiments of the present disclosure are inextricably tied to computer technology. In particular, various embodiments rely on detection of user inputs via graphical user interfaces, aggregation of data from different applications and data sources, and automatic processing, formatting, and display of the aggregated data via interactive graphical user interfaces. Such features and others (e.g., automatically determining an application or data source an inputted link is directed to, accessing the application or data source to retrieve and display the requested data, implementing interactivity of displayed data reflective of how the data would be displayed in its native application) are intimately tied to, and enabled by, computer technology, and would not exist except for computer technology. For example, the interactions with displayed data described below in reference to various embodiments cannot reasonably be performed by humans alone, without the computer technology upon which they are implemented. Further, the implementation of the various embodiments of the present disclosure via computer technology enables many of the advantages described herein, including more efficient interaction with, and presentation of, various types of electronic data.
In some embodiments, a computing system configured to access and display data from a plurality of different applications or data sources is disclosed. The computing system may comprise a computer processor, and a database storing one or more projects and one or more plug-ins, wherein each of the one or more projects includes a respective one or more links, wherein at least some of links encode data indicative of at least a corresponding external application or data source, data of the corresponding external application or data source to be accessed, and a format in which the data to be accessed from the corresponding external application or data source is to be displayed. The computing system may further comprise a computer readable storage medium storing program instructions configured for execution by the computer processor in order to cause the computing system to access, from the database, a first project of the one or more projects, identify a first link included in the first project, analyze the first link to determine a first corresponding external application or data source indicated by the link, and determine whether the first corresponding application or data source is associated with a plug-in of the one or more plug-ins. In some embodiments, in response to determining that the first corresponding application or data source is associated with a first plug-in of the one or more plug-ins, the computing system may, based on the first plug-in, access the corresponding application or data source, retrieve data from the corresponding application or data source as indicated by the first link, and display the retrieved data in a format indicated by the first link such that the displayed data is interactively accessible to a user as if the displayed data were displayed natively by the corresponding application or data source.
In some embodiments, the first plug-in may correspond to an application for creating one or more graphs from a plurality of stored data points. The first link may specify one or more graphs created using stored data points.
In some embodiments, the first plug-in corresponds to an application for providing a hierarchy of objects associated with one or more data entities. The first link may correspond to a particular object associated with a data entity of the one or more data entities, and wherein the retrieved data is displayed as a representation of the object and a breadcrumb trail indicating a position of the object within the hierarchy.
In some embodiments, accessing the corresponding application or data source comprises submitting an authentication token to the application or data source, and wherein the authentication token allows first the plug-in to retrieve a first portion of the data but not a second portion of the data from the corresponding application or data source.
In some embodiments, the program instructions are further configured to causing the computing system to, in response to a determination that a plug-in associated with the corresponding external application or data source does not exist, display the link as text.
In some embodiments, the first link comprises a URL. In some embodiments, the URL may correspond to an image, wherein the program instructions cause the computing system to display the image specified by the URL.
In some embodiments, a project of the one or more projects may be further associated with one or more pieces of text entered by a user or one or more uploaded files.
In some embodiments, the program instructions are further configured to cause the computing system to receive a first indication from the user of a modification to be made to at least a portion of the displayed data associated with the first link; perform the modification on the displayed data in response to the received indication; and generate a first updated link based at least in part upon the modification to the displayed data.
In some embodiments, the program instructions are further configured to cause the computing system to, in response to receiving a second indication from a second user of a second modification to be made to at least a portion of the displayed data associated with the first link, preventing a second updated link based at least in part upon the second modification from being generated, if the second indication is received between the receipt of the first indication and the generation of the first updated link.
In some embodiments, a project of the one or more projects is associated with a project link, wherein the one or more links included in the project are encoded within the text of the project link.
The present disclosure also comprises a computer program product, for example a non-transitory or transitory computer-readable medium, that comprises the program instructions recited in any of the appended claims, and/or comprises the program instructions disclosed in the present description. The present disclosure further comprises a method in which the steps recited in any of the appended claims, and/or the steps disclosed in the present description, are executed by one or more computing devices.
Overview
As described above, it can become very difficult for the user to identify relevant data and perform an analysis when a database includes a large amount of data. This may be especially true if the user would like to compare two or more data sets over a specific period of time, where the data sets correspond to measurements taken by sensors in a system. In conventional systems, user interfaces may be generated that allow the user to view graphs of the data sets. However, it may be difficult or burdensome for the user to try to identify trends in the data and/or determine the reasons why a sensor acted in a given manner.
Accordingly, disclosed herein are various systems and methods for displaying various graphs in an interactive user interface. For example, a computing device (e.g., the computing system 2000 of
The data in the graphs may be rendered in the interactive user interfaces according to a technique that efficiently uses the pixels that are available for displaying the graphs. For example, every individual pixel (in the x-axis of an x-y graph) may represent a time range (e.g., 1 day in February, 1 week in February, 1 month in 2014, etc.). Over the time range of an individual pixel, the computing system may determine a maximum value and a minimum value of the data to be displayed in the graph. If the granularity of the measured data matches the time range of an individual pixel (e.g., an individual pixel represents a time range of 1 hour and data was measured every hour), then the maximum value and the minimum value may be the same. For each individual pixel (in the x-axis), a line may be rendered from the maximum value to the minimum value (in the y-axis).
As described above, the graphs may be manipulated by the user. For example, the user may zoom into a portion of a graph. In an embodiment, the computing system predetermines each possible zoom level (or at least most commonly used zoom levels) and pre-calculates the maximum and minimum values for time periods associated with the minimum display resolution (e.g., each individual pixel in the x-axis may be associated with a time period) at separate possible zoom level. These pre-calculated maximum and minimum values may be cached, such that they may be retrieved as a user adjusts zoom levels in order to more rapidly update the graph to include the most granular data available at the particular zoom level. In one embodiment, if the user selects a zoom level having minimum time periods per pixel (or some other display unit) that has not been pre-cached, the computing system may display the graph at the closest zoom level at which maximum and minimum values have been cached to ensure that the cached data can be used effectively.
In some embodiments, the interactive user interfaces may include information about a system or entity, and sensors or attributes associated with the system or entity. For example, a system or entity may correspond to an oil platform, and the interactive user interfaces may include time-series that display data measured by sensors associated with an oil platform. In other embodiments, a system or entity may correspond to other types of entities, such as people, geographic regions, network nodes or storage devices, user accounts, markets, and/or the like. The time-series (and/or any other graphs displayed in the user interface) may be manipulated by the user in any manner as described herein.
As described above, in some embodiments, the interactive user interface may display data assets from a plurality of different applications and/or data sources. The data corresponding to the data assets may include graphs (as described above), interactive objects, images, documents, and/or other types of data. A collection of data assets to be displayed on the interactive user interface may be referred to as a “project.”
In some embodiments, a project may comprise a collection of links specifying data to be displayed from the plurality of different applications and/or data sources. For example, a link may comprise an ID that points to or references data stored in a database. In some embodiments, a link may further comprise display parameters specifying the data to be displayed, and also how the data is to be displayed. When loading a project for display, the links may be automatically parsed to identify the application and/or data source they are associated with. In some embodiments, a plug-in corresponding to a particular application or data source may be used to retrieve requested data using an identified link associated with application or data source. For example, a link corresponding to data to be displayed as one or more graphs may be parsed to determine that it is associated with a graph application. A plug-in corresponding to the graph application may be used to access the graph application to retrieve, display, and format the requested data.
In some embodiments, retrieved data may be displayed in a format based upon that of their native application. For example, the format of the displayed data may reflect a look and feel of the native application from which the data was retrieved. The data may be displayed in an interactive format, allowing the user to change or manipulate the data in a manner that would be possible in the data's native application. For example, the project may contain at least a first and second link, wherein data for the first link comprises one or more time-series graphs retrieved from a graph application. The user may be able to perform manipulations on the displayed graphs using the interactive user interface that correspond to manipulations that the user would have been able to perform using the graph application (e.g., zooming or scrolling through a graph, setting markers on a graph, associating events with data points in a graph, and/or the like). Data for the second link may comprise data from a second, different application, wherein the user is able to perform different manipulations based upon types of manipulations that could be performed in the second application. In some embodiments, the data may be displayed in a format that is different from its native application.
In some embodiments, the user may be able to manipulate or change the displayed data. For example, the user may change which data is displayed and/or how it is to be displayed. In order to persist the changes to the data, a new link for the manipulated or changed data may be generated and associated with the project. In some embodiments, a project may be expressed as a “project link,” comprising a text string, wherein the links that point to or reference the assets associated with the project are included or embedded within the text string. The project link may be shared between different users, and may function as a snapshot of the project. For example, as different users modify or update the project, new links may be generated that reflect the updated or modified project. On the other hand, the original project link may still be used to load the project in the state it was in at the time the original project link was created. In some embodiments, the original project link may reflect which sets of data were displayed and how they were displayed at the time the project link was generated, while also reflecting updates to the actual underlying data pointed to by the links associated with the project. In some embodiments, the project link may reference the current state of the project as it is updated by one or more users.
The systems and methods described herein may provide several benefits. For example, the systems and methods described herein may improve the usability of the user interface by providing graphs that can be manipulated by a user in a concurrent manner, thereby allowing the user to identify trends or other information associated with the graphs without having to separately manipulate each individual graph. As another example, the systems and methods described herein may reduce the processor load while the user is interacting with the user interfaces by predetermining each possible zoom level and pre-calculating the maximum and minimum values. The systems and methods described herein may also increase the processing speed as the computing system may not have to determine in real-time how a graph should be updated when the zoom level is changed. Rather, the computing system can retrieve the appropriate data from the cache to update the graph. As another example, the systems and methods described herein may reduce the latency in generating updated user interfaces as the zoom levels and maximum and minimum values may be predetermined and can be retrieved from cache rather than the databases that store the actual data (e.g., which could be located externally from the computing system). Thus, the systems and methods described herein may improve the usability of the user interface.
In some embodiments, the systems and methods described herein may allow the user to more easily gather and aggregate data from various different sources, without sacrificing the interactivity of the data when displayed in their native applications. By allowing the user to specify, view, and interact with different types of data from different sources in a single interface, the user may be able to better gather information, identify trends or correlations, and form a more complete picture of a topic or entity of interest. For example, a user may specify for display one or more graphs containing sensor data associated with an entity of interest during a time period of interest, one or more links to news articles or reports relating to the entity during the time period, one or more images taken of the entity during the time period, and/or the like, in order to provide a more complete picture of the entity of interest during the time period of interest. In addition, the user may be able to generate an easily sharable “project link” corresponding to the gathered data. The project link may also function as a snapshot of the project at the time the project link was generated. As such, the user to able to more quickly and accurately access, navigate, assess, and digest the data than previous systems, potentially providing reduced mental workloads, improved decision-making, reduced work stress, and/or the like, for the user.
Examples of Manipulating Time-Series Graphs in an Interactive User Interface
In an embodiment, the water allocation data was measured at a granularity that matches each individual pixel in the x-axis of the time-series graph 110. Thus, the maximum and minimum values of the water allocation data at each individual pixel may be the same and a single point (the size of a pixel in the x and y direction) may represent each water allocation measurement.
The temperature data, however, may be measured at a granularity that does not match each individual pixel in the x-axis of the time-series graph 120. For example, the temperature may have been measured every day, yet each individual pixel may represent a 2 week time period. Thus, the computing system that generates the user interface 100 may calculate the maximum and minimum temperature values for each 2 week time period between the beginning and the end of the time range associated with the time-series graph 120 (e.g., 2010 to 2014). For each individual pixel in the x-axis of the time-series graph 120, a line may be rendered from the maximum temperature value to the minimum temperature value.
In an embodiment, selection of the portion of the time-series graph 120 at the location of the cursor 210 causes a marker 220 to appear at the selection in the time-series graph 120, as illustrated in
The user interface 200 may further include a window 240 where users can provide or view notes associated with a particular sensor data or with sensor data at a particular time or time period. In the example of
In an embodiment, as the selection of the end of the desired time period is made in graph 110, a second marker 310B appears in the time-series graph 110 to indicate an end of the time period, and marker 320 (or possibly two markers showing start and end of the time period, if the scale of graph 120 is such that the time period includes multiple pixels) is updated in response to changes in the time period selected in graph 110 such that the markers in each graph 110 and 120 indicate the same time period, even though the time series graphs are on a different time scale. Thus, the selected time period in the time-series graph 110 with reference to water allocation is automatically used to select a corresponding time period in the time-series graph 120 with reference to temperature values.
The user may indicate that all graphs or just a subset of graphs displayed in the user interface 300 should be synchronized or identically manipulated in a manner described herein (e.g., an identical manipulation such as a selection of a time period in one graph causing a selection of a corresponding time period in another graph). For example, if the user interface 300 displayed a third graph, the user may be provided with an option to synchronize the graph 110, the graph 120, and the third graph, the graph 110 and the third graph, or the graph 120 and the third graph. If, for example, the user selected to synchronize the graph 120 and the third graph, then any changes to the third graph by the user may also occur to the graph 120, but not to the graph 110. Likewise, any changes to the graph 110 by the user would not affect the graph 120 or the third graph.
In further embodiments, the user may elect to synchronize certain manipulations of a graph, but not other manipulations of a graph. For example, the user may select an option to synchronize the zoom level in two or more graphs, but not the time period displayed within the graphs. As illustrated in
In an embodiment, as the user moves the cursor 210 to different locations within the time-series graph 120, the marker 410 may follow the cursor 210. Furthermore, as illustrated in
In an embodiment, events (e.g., a manufacturing failure, a contamination event, etc.) may have occurred during the time period associated with the selections in the time-series graph 110 and the time-series graph 120 and/or annotations may be marked. The events that occurred and/or the annotations may be associated with the sensor that measured the water allocation values, the sensor that measured the temperature values, and/or other sensors that measured other data (not shown). Marks 530, 540, and 550 may identify a time at which an event occurred and/or an annotation is marked and/or a time range during which an event occurred and/or an annotation is marked. For example, the mark 530 may indicate that an event occurred or an annotation was marked at a time corresponding to the location of the mark 530 in the time-series graph 110, where the event or annotation is associated with the sensor that measured the water allocation values. Likewise, the mark 540 may indicate that an event occurred or an annotation was marked at a time corresponding to the location of the mark 540 in the time-series graph 110 (e.g., where the event or annotation is associated with the sensor that measured the water allocation values) and the mark 550 may indicate that an event occurred or an annotation was marked at a time corresponding to the location of the mark 550 in the time-series graph 120 (e.g., where the event or annotation is associated with the sensor that measured the temperature values). The marks 530, 540, and/or 550 can be represented in various ways. For example, if the event occurs or the annotation is marked at a specific time instant, the marks 530, 540, and/or 550 can be represented as vertical lines. If the event occurs or an annotation is marked during a range of time, the marks 530, 540, and/or 550 can be represented as blocks (e.g., rectangular blocks) that encompass the time range.
Furthermore, the user interface 500 may include an event information pane or notebook 560. The event information pane 560 may include information on the events that occurred (and/or annotations made by the user) corresponding to the sensors that measured the water allocation data, the temperature data, and/or other data (not shown). The information may include a time-series graph or sensor that the event or annotation is associated with, a time-series within the time-series graph that the event or annotation is associated with, a time that the event occurred (or that the annotation is associated with), and a description of the event or annotation itself, such as a description of the event or annotation provided by a human operator. In an embodiment, the event information pane 560 includes event or annotation information for any event that occurred during a time range for which data was collected and/or for any annotation marked within a time range for which data was collected. In another embodiment, the information displayed in the event information pane 560 is for events that occurred during the entire time range displayed (e.g., March to June) and/or for annotations marked during the entire time range displayed. In another embodiment, the information displayed in the event information pane 560 is for events that occurred during the selected portions (e.g., late April to late May, as represented by the markers 510A-B and 520A-B) and/or for annotations marked within the selected portions. The user interface may include controls that allow the user to select the desired time period for which event information should be included in the event information pane 560.
The event information pane 560 may display event and/or annotation information for every available time-series graph or just selected time-series graphs. For example, the user may use cursor 210 to select the time-series graph 120 (e.g., also referred to as “Graph 2”) and not the time-series graph 110 (e.g., also referred to as “Graph 1”), as illustrated by the dark outline of time-series graph 120 in
As illustrated in
In an embodiment, the user can specify a description of the event and/or annotation and a time-series within the time-series graph 120 that the event and/or annotation corresponds to within the add event window 630. As described above, the time-series graph 120 can depict multiple time-series data. However, the time-series graph 120 as illustrated in
As illustrated in
As illustrated in
As illustrated in
In an embodiment, the abnormal performance of the physical component is represented by sensor values that are outside of an expected range and an alert may be triggered when the sensor values are outside of the expected range. For example, an alert may be generated for a sensor that measures temperature values for a physical component of an oil well if the measured temperature values exceed certain levels (e.g., 200° F.). Alerts may also be triggered based on a combination of sensor values. For example, an alert may be triggered if values associated with a first sensor (e.g., a temperature sensor) exceed certain values and values associated with a second sensor (e.g., a pressure sensor) do not exceed certain values. Triggering of alerts may initiate real-time (or substantially real-time) notifications to one or more users, such as via text messages, email, phone calls, etc. Thus, the alert may allow the user to make adjustments to the sensor and/or other system components in order to reduce impact of the physical component operating outside of its normal range. Alerts may be recorded and associated with a particular sensor and stored for display along side time-series graphs for the particular sensor in the future, such as in the notes or event information areas of the user interface.
The user interface 800 may display markers that indicate when an alert would be or should be triggered. For example, marker 810 may indicate an upper boundary at which point an alert may be triggered and marker 820 may indicate a lower boundary at which point an alert may be triggered. As illustrated in
As illustrated in
As illustrated in
In an embodiment, the water allocation values may be measured by a sensor associated with a system. The temperature values and the pressure values may also be measured by sensors associated with the same system.
As illustrated in
Once the user makes the selection in the scatterplot 950, the computing device may determine all times that the individual combinations of temperature and pressure values within the box 960 occurred. For example, while the combination of temperature and pressure values in the box 960 occurred during the time period between markers 920 and 930, the same combination of temperature and pressure values may have occurred at other times. Thus, the user interface 900 may indicate such times. As illustrated in
Example Use Case of an Interactive User Interface with Time-Series Graphs
As illustrated in
As illustrated in
As illustrated in
As illustrated in
As illustrated in
As illustrated in
As illustrated in
Row 1150 identifies the different rock layers at a vertical position of the drill bit over time. For example, between February and mid-March, the drill bit may be at a depth that falls within rock layer 1152 (except for times in which the drill bit is at the surface, which is indicated by a blank space in the row 1150). After mid-March, the drill bit may briefly be at a depth that falls within rock layer 1154. However, prior to the beginning of April, the drill bit may be slowly raised to the surface. During this time, the drill bit may pass from the rock layer 1154 to the rock layer 1152 before reaching the surface, as indicated in the row 1150. Likewise, in May, the drill bit may reach a depth below the surface that falls within rock layer 1156, as indicated in the row 1150.
Row 1160 identifies the different rock layers at the bottom of the oil well over time. For example, the row 1160 may identify the deepest rock layer reached by the drill bit (assuming that the oil well is not filled in and that the deepest region reached by the drill bit corresponds with the depth of the bottom of the oil well). Thus, while the drill bit may be raised to the surface in mid-May, the row 1160 indicates that the rock layer 1156 is the rock layer at the depth of the bottom of the oil well.
Row 1170 identifies a time or time range at which various events 1171-1178 may have occurred in the period of time viewed within the graph 1145. Information on one or more of the events 1171-1178 may be provided in the window 1180. For example, the window 1180 may identify an event, a time that the event occurred, and/or a description of the event. Accordingly, a user may be able to identify times in which an oil well is not being drilled, reasons why such delays have occurred, and/or possible solutions for reducing such delays.
In further embodiments, not shown, additional data or curves can be included in the graph 1145. For example, a curve indicating levels of gamma radiation at the vertical position of the drill bit (e.g., a curve in which the y-axis value represents gamma radiation levels at the vertical position of the drill bit at a time instant and the x-axis value represents time), a curve indicating levels of gamma radiation at the bottom of the oil well (e.g., a curve in which the y-axis value represents gamma radiation levels at the bottom of the oil well at a time instant and the x-axis value represents time), a curve indicating levels of gamma radiation at a static or dynamic depth within the oil well (e.g., a curve in which the y-axis value represents gamma radiation levels at the static or dynamic depth and the x-axis value represents time), and/or the like may be included in the graph 1145.
Example Process Flow
In block 1202, user interface data for rendering an interactive user interface is generated. The interactive user interface may include a first graph in a first container and a second graph in a second container that has a same width as the first container. The first graph may include first sensor values over a first time period and the second graph may include second sensor values over a second time period.
In block 1204, an identification of a selection of a first data point in the first graph that corresponds to a first time range is received. The first time range could be determined based on a time range that corresponds with each individual pixel in an x-axis.
In block 1206, the user interface data is updated such that the interactive user interface includes a first marker at a location of the first data point in the first graph. The marker may be a vertical line that is temporarily displayed in the interactive user interface.
In block 1208, the database is accessed to determine a second sensor value that corresponds to a beginning of the first time range and a second sensor value that corresponds to an end of the first time range. For example, the second sensor value that corresponds to a beginning of the first time range may be a sensor value that was measured at a time that corresponds with the beginning of the first time range.
In block 1310, the user interface data is updated to include a second marker at a location of a second data point in the second graph that corresponds to the beginning of the first time range and a third marker at a location of a third data point in the second graph that corresponds to the end of the first time range. Thus, the user may be able to view, within the interactive user interface, first sensor values and second sensor values that were measured at the same time.
Projects and Assets
In some embodiments, the charts and time series graphs described above with regard to
In some cases, a user may wish to be able to collect and interact with different types of data from different applications and data sources in one place, instead of having to view the different data in the individual applications and/or data sources that they are associated with. For example, the user may be doing research into a particular issue concerning one or more entities, and may wish to collect and interact with information from a variety of different applications and data sources relating to the one or more entities to provide a more complete picture of the issue being researched. Various different types of data and data visualizations may be used to create a story or report concerning the researched data entities. In some embodiments, a completed collection of data may be shared, such as with coworkers, a supervisor, and/or the like.
In some embodiments, these collections of data may be referred to as “projects,” and the individual pieces of data in a project may be referred to as “assets.”
While the present application may discuss generating and manipulating projects in the context of oil wells and oil well platforms, it is understood that projects may be directed to analyzing any type of data entity. For example, in some embodiments, a user may wish to collect, aggregate, and interact with different types of data relating to a particular network node or a group of nodes in a network, wherein the node may be associated with a plurality of different attributes (e.g., storage size, processor type, and/or the like) and data objects (e.g., instruction manuals, schematic diagrams, and/or the like) that may be viewed and/or manipulated using a hierarchical object explorer application. The node may also be associated with various attributes and measurements (e.g., network traffic over time, storage over time, and/or the like) that may be visualized and/or manipulated using a graph application.
In some embodiments, in order to assist a user in finding a desired project to load, various project attributes may be displayed. For example, in addition to a project name, other attributes such as project creator, project create time, latest modification time, and/or the like may be displayed. In some embodiments, one or more icons or other display elements 1312 may be associated with each project, signifying the number and types of data assets associated with each project.
In some embodiments, a project may be associated with a plurality of different types of assets. As illustrated in
In some embodiments, a “note” asset may comprise text entered by a user. This may be done through a user interface element such as a text box. In some embodiments, “note” assets may be used by the user to provide commentary for other data assets in the project, to record the user's thoughts, and/or the like.
An “image” or “file” asset may comprise a file deemed by the user to be relevant to the project. In some embodiments, in response to the user specifying an image or file path, the file may be uploaded by the projects application (e.g., to a database associated with the projects application). In some embodiments, how the asset is displayed may be based at least in part upon a file type of the specified file. For example, if the file is an image or a text file, the image or text may be displayed in-line in the projects application interface. In some embodiments, some types of files may be displayed as a link or attachment (e.g., an icon that, in response to being clicked on or selected by the user, opens or downloads the file).
In some embodiments, a “URL” or “link” asset may correspond to a particular URL or link provided by the user. The URL or link may correspond to data from a webpage, application, outside data source, and/or the like, which may hereinafter collectively referred to as “outside applications.” For example, in some embodiments, the outside applications may include a graph application (e.g., as illustrated in
In some embodiments, in order to obtain the link or URL for the asset, the user may view the desired data on the outside application, and copy and paste its link or URL to the projects application. In some embodiments, applications and data sources may be integrated with the projects application, such that a user may add a link to data in the application directly to the projects application. For example, in some embodiments, a graph application may be modified to contain an “Add to Projects” button or other interface element. When the user clicks on the “Add to Projects” button, a link corresponding to the graph data that they are currently viewing may be sent to the projects applications. In some embodiments, the user may be prompted to enter a project to which the link will be associated with.
In some embodiments, the data associated with “URL” or “link” assets, unlike “image” or “file” assets, may be accessed through an outside application and rendered on-the-fly, and is generally does not need to be uploaded and persistently stored by the projects application. As such, if the underlying data at the application or data source changes, the data displayed at the projects application may also change accordingly. In some embodiments, the application may be configured such that data from different applications and data sources may be displayed in different formats, based at least in part upon the application or data source from which the data originated.
As used herein, a database, which may also be referred to as “data store” and/or “data structure,” may correspond to any data store or data structure (and/or combination of multiple data stores, data structures, and/or databases) for storing data. This may include, but is not limited to, databases such as RDBMS, SQL, NoSQL, as well as other data storage structures such as comma separated values (CSV) files, eXtendible markup language (XML) files, TeXT (TXT) files, flat files, spreadsheet files, and/or any other widely used or proprietary format for data storage.
Displaying Link Asset Application Data with Plug-Ins
As shown in the embodiment of
Links associated with a project (e.g., links submitted by a user) may be analyzed to determine which application and/or data source the link is associated with. For example, the link may be parsed, analyzed with one or more regular expressions to determine an application, data source, and/or plug-in associated with the link. In another example, the projects application may provide the link to each of the plug-ins 1504. Each plug-in 1504 may receive and parse the submitted link to determine if the link is associated with the outside application associated with the plug-in.
In some embodiments, projects application 1502 may receive links that are associated with other applications 1514 or websites/images 1516 that do not have a corresponding plug-in 1504. In some embodiments, if an application and/or data source associated with a link cannot be identified (e.g., the link is associated with an application, data source, and/or website that does not have a corresponding plug-in), data associated with the link is not retrieved, and the link may simply be displayed by the project interface. The user may then click on or select the link, which may open the website, application, and/or data source associated with the link. In some embodiments, if the link corresponds to a particular file type (e.g., an image file on a webpage, a PDF, and/or the like), the file may be retrieved from the webpage and displayed directly on the project interface, similar to how an “image” asset may be displayed. In some embodiments, “note”, “image”, and/or “file” assets may also be expressed as links. For example, an “image” asset may be expressed as a link specifying an image file stored in a data store associated with the projects application (e.g., asset data 1518).
On the other hand, if a suitable plug-in is found, the plug-in may be used to access the application or data source to retrieve the data specified by the link (e.g., graph data 1510, object data 1512, and/or the like), and to display the data in the project interface in a format based upon the particular application that the link is associated with. In some embodiments, the data may be displayed in a format that emulates a look and feel of how the data would have been displayed in its native application. In addition, the format that the data is displayed in may be interactive in a manner reflective of its native application. For example, a graph application may allow a user to manipulate a displayed graph (e.g., pan or zoom on the graph, merge graphs, add an event to a graph, and/or the like). In some embodiments, a link corresponding to the graph associated with a project in the projects application will allow the user to perform the same manipulations when displayed by the projects application. In some embodiments, the data may be displayed in a format that is different from how it would be displayed natively in the application.
In some embodiments, the plug-in may use existing code from its associated application in order to retrieve the data and format the data for display. For example, if the application is a graph application 1506, the plug-in 1504-1 may utilize the existing code in the graph application 1506 to retrieve the requested data (e.g., data points for one or more data series) from graph data 1510, and create one or more interactive graphs based upon the retrieved data to be displayed in the projects application 1502. In other embodiments, the plug-in accesses an API associated with the application in order to retrieve the data associated with the link. Once data is retrieved through the API, the plug-in may then format the data (e.g., create interactive graphs using the received data) for display in the projects application interface.
In some embodiments, in order to access the application or data source, the plug-in may be required to submit an authentication token or other authentication data in order to access the data from the application. In some embodiments, the authentication token may be created automatically based upon a user profile when the user launches the projects application. In some embodiments, the user may be prompted to enter authentication information (e.g., a username and/or password) for one or more applications when using the projects application for the first time and/or when the user specifies a link associated with the application.
In some embodiments, the authentication information may be used to access certain data on the application or data source. For example, if the user does not have permission to access certain data in an application (e.g., a data series associated with a particular well platform), an error may be returned. Alternatively, the inaccessible data may simply not be displayed (e.g., the graph for the data series that the user does not have permission to access may be displayed as a blank graph). For example, if the link is associated with data corresponding to a first graph and a second graph, and the user does not have authentication information to access data for the second graph, the projects application may display the first graph and a blank graph for the second graph, and/or an error indicating that the second graph cannot be displayed.
Note asset 1602 may comprise a text box for other interface element allowing a user to enter text to be associated with note asset 1602. In some embodiments, a user may use note assets to record a summary of the project, to provide commentary on other displayed assets, provide additional data, and/or the like.
As illustrated in
In some embodiments, a link asset may also be associated with additional text or other information. For example, link asset 1604 may be associated with a text box 1608, allowing a user to enter in additional text. This may be used to specify a caption and/or provide context to the displayed asset data. In some embodiments, the text may be associated with the asset as a whole, or may be associated with a specific element of displayed asset data. For example, the user may be able to specify a text box having a pointer to a specific location or element of the displayed link data (e.g., a specific data point, a specific point on an axis of a displayed graph, and/or the like).
Link asset 1606 is associated with an object explorer application. In some embodiments, the link specifies a specific object in the object hierarchy maintained by the object explorer application. Because the projects application contains a plug-in that corresponds to the object explorer application, the specified object may be displayed in a format that emulates the look and feel of how it would be displayed in its native application. For example, in some embodiments, the object may correspond to an image, which may be displayed in the projects application interface.
In addition, a hierarchical path or breadcrumbs trail 1610 associated with the object may also be displayed, providing the user with context information. For example, in the context of oil well platforms, the breadcrumbs trail may contain the region, well, and platform that the object is associated with. In some embodiments, by clicking on different stages in the hierarchical trail, the user may be able to view parent stages of the displayed object, and explore the object hierarchy.
In some embodiments, a link may not only specify what data is to be displayed, but also how the data is to be displayed. For example, a link associated with a graph application may specify one or more data series to be displayed, as well as display setting information relating to how the data series will be displayed. These may include parameters such a zoom level, graph axis range settings, graph display settings (e.g., if the data is associated with two different data series, whether the two data series are displayed as different graphs or combined into a single graph), and/or the like. In some embodiments, if the link does not contain information on how the data is to be displayed, one or more default display settings may be used. In some embodiments, the link may comprise a text string such as a URL/URI, wherein the display parameters are encoded directly into the text string. In some embodiments, the link may comprise a pointer or mapping to a location in a server maintained by an outside application, wherein the display parameters are identified and retrieved by the server based at least in part upon the pointer or mapping.
In some embodiments, the projects application interface may contain one or more buttons or other interface elements 1612 next to each asset. These may include a collapse button that may be used to collapse the asset for easier viewing of the other assets in the project, and a delete button that can be used to delete the asset from the project. In some embodiments, link assets may also be associated with an application button 1614, allowing the user to launch the application that the link asset is associated with. For example, a user may click on the application button next to a link asset associated with data from a graph application in order to open the graph application. In some embodiments, if a user launches an application through an application button associated with a link asset, the data associated with that link asset will be displayed when the application is launched. For example, launching the graph application may cause the application to automatically load and display the graph data specified by the link, while launching the object explorer application may cause the application to automatically load and display the particular object that was specified by the link. In some embodiments, an application button is only provided for link assets associated with applications having a corresponding plug-in.
Asset Data Interaction and Manipulation
In some embodiments, the user may be able to interact with and/or perform actions changing how link assets are displayed. For example, for link asset data associated with a graph application, the user may be able to scroll along the axes of a graph by clicking on a location within the graph area and dragging in a desired direction. The user may be able to combine two or more graphs by dragging one graph on top of another one, or separate a graph showing two or more data series by dragging a data series away from the graph.
Furthermore, in some embodiments, a text box or other interface element contain information associated with an axis location corresponding to the marker may also be displayed. Because the axis data may be measured at a granularity that does not match each individual pixel, the selected portion of the time-series graph may correspond to a first time period. As such, selection of the portion of the time-series graph at the location of the cursor may include selecting all axis values within the first time period. In some cases, the displayed text box may display the range of values selected, an average value, and/or the like.
In some embodiments, the user may also perform manipulations on the actual data that is displayed. For example, the user may delete a data series from the displayed data, or specify a new data series to be displayed. In some embodiments, the user may be able to perform other types of manipulations capable of being performed in the native interface of the application that the data asset is associated with.
In some embodiments, the user may store any changes made to the displayed asset data (e.g., by clicking on a “save changes” button or other interface element). In some embodiments, changes may be saved automatically or periodically. In some embodiments, a change in the data or how the data is displayed may be reflected in the link associated with the data. For example, when changes to an asset in the project are saved, a new link may be generated that corresponds to the updated data and/or data display parameters. The asset may then be associated with the new link. On the other hand, if the user does not save the changes, a new link is not generated. As such, when the project is opened or re-loaded, the assets of the project will be displayed in the states as specified by the original links. Thus, the change(s) made by the user may not persist.
In some embodiments, a project may be stored as list or collection of assets. Each asset may be associated with a title, an order in the project, text (if a “note” asset), file or image data (if an “image” or “file” asset), a link (if a “link” or “URL” asset), and/or additional metadata (e.g., any annotations, comments, and/or the like). In some embodiments, a stored link may be in its raw unparsed form, or may already be pre-parsed to allow for faster processing.
In some embodiments, all assets associated with a project, regardless of type, may be expressed as links. For example, a “note” asset may comprise a link pointing to text data stored in a data store associated with the projects application (e.g., asset data 1518, as illustrated in
In some embodiments, one or more assets associated with a project may each be associated with some text and an optional file attachment. The file attachment may be stored in a data store associated with the projects application (e.g., asset data 1518, as illustrated in
Process for Displaying Link Assets
At block 1804, one or more links may be identified. For example, after the user creates a new project, the user may specify one or more links to be included in the project. If the user loads an existing project, one or more links associated with the project may be identified.
At block 1806, a link from the one or more links is parsed. In some embodiments, the link may be parsed, analyzed with one or more regular expressions to determine an application, data source, and/or plug-in associated with the link. In some embodiments, parsing the link may comprise submitting the link to a plurality of plug-ins corresponding to applications or data sources that the links may be associated with. For example, the projects application may contain a first plug-in corresponding to a graph application, a second plug-in corresponding to an object explorer application, and/or one or more additional plug-ins corresponding to other applications. In some embodiments, each plug-in, upon receipt of the link, parses the link to determine if the link has a format that is associated with the application or data source corresponding to the plug-in. If so, the link may be deemed to be associated with the application or data source. In some embodiments, where display parameters (e.g., what data will be displayed, how the data will be displayed) associated with the link are encoded directly into the URL/URI of the link, parsing the link may comprise extracting the various display parameters from the URL/URI.
At block 1808, a determination is made as to whether or not the link is of a type associated with an application that has a corresponding plug-in. If the link is not associated with an application having a corresponding plug-in, then at block 1810, the link may simply be displayed on the projects application interface. In some embodiments, if the link corresponds to a particular file type (e.g., an image file, a text file, a PDF, and/or the like), the file may be displayed in the projects application user interface. For example, for a link corresponding to an image, the image may be directly displayed on the projects application interface.
On the other hand, if the link is of a type associated with an application having a corresponding plug-in, then at block 1812, the plug-in is used to access the application associated with the link. At block 1814, data specified by the link is retrieved from the application. In some embodiments, the plug-in accesses an API associated with the application in order to request and receive the data. In some embodiments, the plug-in may use existing code and/or assets from the application in order to retrieve and format the requested data.
At block 1816, the retrieved data is displayed in the projects application in a format specified by the plug-in. In some embodiments, the plug-in may access existing code and/or assets of the application in order to display the data. In some embodiments, the format may be a format based upon a data display format of the application. For example, the data may be displayed in a format that emulates a look and feel of how the data would have been displayed in its native application. In addition, the data may be interactive in a manner similar to its native application, as described above. In some embodiments, the displayed format may be different from the native application format.
At block 1818, a determination is made as to whether there are more links associated with the project to be parsed. If so, the process returns to block 1806. On the other hand, if there are no more links to be parsed, the process ends at block 1820, whereupon a user may view the displayed data, perform manipulations on the displayed data, and/or the like.
Manipulating Displayed Link Data
At block 1906, a manipulation is performed on the displayed data. The manipulation may be a manipulation that would have been able to be performed on the data when displayed in its native application. In some embodiments, the manipulation may be performed in a manner that is the same or substantially similar to how it would have been performed in its native application. In some embodiments, a manipulation may change the way that the data is displayed. For example, the manipulation may change a zoom level on which the data is displayed, change a view of how the data is displayed, and/or the like. In some embodiments, the manipulation may change the data that is displayed. For example, the manipulation may comprise adding or deleting a data series from a graph, adding an annotation to an element of the displayed data, navigating to a different object in an object hierarchy, and/or the like.
For example, in some embodiments, the displayed data may comprise one or more time series graphs. A manipulation may comprise changing how the graphs are displayed, such as changing the zoom level or axis scale of a graph, panning across the axis of a graph, and/or the like. In some embodiments, the manipulation may comprise changing the actual data that is displayed. This may include changing the graphs that are displayed (e.g., deleting a graph from display, specifying additional data series to be displayed, etc.), adding events or markers onto one or more of the displayed graphs, combining or merging two or more graphs, and/or the like.
At block 1908, the link associated with the asset may be updated to reflect the changes and manipulations performed by the user. For example, a new link may be generated that reflects the updated asset data, which replaces the original link associated with the asset.
In some embodiments, some types of changes or manipulations may not be reflected in the link, but may instead be stored as asset metadata. These may include adding captions to displayed asset data and/or operations that normally are not performed by the application with which the link is associated with.
In some embodiments, a user may change or perform manipulations on displayed asset data when the asset data is displayed. In other embodiments, the user must first enter into an “edit” mode (e.g., by clicking on an “edit” button or other interface element) for the asset in order to make changes or perform manipulations on the data associated with the asset.
In some embodiments, any changes or manipulations performed on the data do not cause the link to be updated until the data is saved. In some embodiments, this requires a user to click a “save” button or interact with some other interface element. In some embodiments, data may be saved automatically or periodically. On the other hand, if the user chooses not to save, no updated link is generated. Instead, the project asset may continue to be associated with its original link, such that when the project is re-opened or re-loaded, the data associated with the asset will be displayed in its original pre-manipulation state as specified by the original link.
Read/Write Privileges
It is often desirable for a user to be able to share a project with other users. For example, a project may be shared between multiple users in a collaborative environment, with different users being able to view, add to, and modify the data assets in the project. In some cases, a user may wish to submit a project to be viewed by a supervisor or committee.
In some embodiments, a project may be associated with one or more user groups. For example, a first group of users may be allowed both read and write access to the project. In addition, the project may also be associated with a second group of users who only have read access to the project. In some embodiments, additional user groups may be specified with different levels of privileges (e.g., be able to add new assets, but not delete or modify existing assets)
In some embodiments, multiple users may be able to view and edit a particular project concurrently. When performing changes on modifications on asset data in the project, each asset in the project may be considered independently. For example, if a first user is editing a first asset in a particular project, a second user may concurrently edit a second, different asset or add new assets to the project. On the other hand, if the first user is editing a first asset, the second user may be prevented from editing the same asset, or be notified that any edits made to the asset will not be able to be saved.
In some embodiments, different users modifying and saving a project may create snapshots of the project. As such, if another user modifies the project, the earlier saved versions of the project may be retrieving using the snapshots. In some embodiments, a snapshot may be taken each time a different user modifies the project. In some embodiments, a user may specify when saving a project whether or not a snapshot should be taken. In some embodiments, taking a snapshot may comprise generating a project link corresponding to the snapshot. As such, each snapshot may simply be an updated list of links. The project link corresponding to the snapshot may be easily shared between users. Because the links of the assets associated with the project may be extracted from the project link in the state they were in at the time the snapshot was made, even if the project is modified at a later time, the version of the project corresponding to the snapshot may still be loaded using the project link.
Implementation Mechanisms
According to one embodiment, the techniques described herein are implemented by one or more special-purpose computing devices. The special-purpose computing devices may be hard-wired to perform the techniques, or may include digital electronic devices such as one or more application-specific integrated circuits (ASICs) or field programmable gate arrays (FPGAs) that are persistently programmed to perform the techniques, or may include one or more general purpose hardware processors programmed to perform the techniques pursuant to program instructions in firmware, memory, other storage, or a combination. Such special-purpose computing devices may also combine custom hard-wired logic, ASICs, or FPGAs with custom programming to accomplish the techniques. The special-purpose computing devices may be desktop computer systems, server computer systems, portable computer systems, handheld devices, networking devices or any other device or combination of devices that incorporate hard-wired and/or program logic to implement the techniques.
Computing device(s) are generally controlled and coordinated by operating system software, such as iOS, Android, Chrome OS, Windows XP, Windows Vista, Windows 7, Windows 8, Windows Server, Windows CE, Unix, Linux, SunOS, Solaris, iOS, Blackberry OS, VxWorks, or other compatible operating systems. In other embodiments, the computing device may be controlled by a proprietary operating system. Conventional operating systems control and schedule computer processes for execution, perform memory management, provide file system, networking, I/O services, and provide a user interface functionality, such as a graphical user interface (“GUI”), among other things.
For example,
Computer system 2000 includes a bus 2002 or other communication mechanism for communicating information, and a hardware processor, or multiple processors, 2004 coupled with bus 2002 for processing information. Hardware processor(s) 2004 may be, for example, one or more general purpose microprocessors.
Computer system 2000 also includes a main memory 2006, such as a random access memory (RAM), cache and/or other dynamic storage devices, coupled to bus 2002 for storing information and instructions to be executed by processor 2004. Main memory 2006 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 2004. Such instructions, when stored in storage media accessible to processor 2004, render computer system 2000 into a special-purpose machine that is customized to perform the operations specified in the instructions. Main memory 2006 may also store cached data, such as zoom levels and maximum and minimum sensor values at each zoom level.
Computer system 2000 further includes a read only memory (ROM) 2008 or other static storage device coupled to bus 2002 for storing static information and instructions for processor 2004. A storage device 2010, such as a magnetic disk, optical disk, or USB thumb drive (Flash drive), etc., is provided and coupled to bus 2002 for storing information and instructions. For example, the storage device 2010 may store measurement data obtained from a plurality of sensors.
Computer system 2000 may be coupled via bus 2002 to a display 2012, such as a cathode ray tube (CRT) or LCD display (or touch screen), for displaying information to a computer user. For example, the display 2012 can be used to display any of the user interfaces described herein with respect to
Computing system 2000 may include a user interface module to implement a GUI that may be stored in a mass storage device as executable software codes that are executed by the computing device(s). This and other modules may include, by way of example, components, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.
In general, the word “module,” as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, possibly having entry and exit points, written in a programming language, such as, for example, Java, Lua, C or C++. A software module may be compiled and linked into an executable program, installed in a dynamic link library, or may be written in an interpreted programming language such as, for example, BASIC, Perl, or Python. It will be appreciated that software modules may be callable from other modules or from themselves, and/or may be invoked in response to detected events or interrupts. Software modules configured for execution on computing devices may be provided on a computer readable medium, such as a compact disc, digital video disc, flash drive, magnetic disc, or any other tangible medium, or as a digital download (and may be originally stored in a compressed or installable format that requires installation, decompression or decryption prior to execution). Such software code may be stored, partially or fully, on a memory device of the executing computing device, for execution by the computing device. Software instructions may be embedded in firmware, such as an EPROM. It will be further appreciated that hardware modules may be comprised of connected logic units, such as gates and flip-flops, and/or may be comprised of programmable units, such as programmable gate arrays or processors. The modules or computing device functionality described herein are preferably implemented as software modules, but may be represented in hardware or firmware. Generally, the modules described herein refer to logical modules that may be combined with other modules or divided into sub-modules despite their physical organization or storage
Computer system 2000 may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and/or program logic which in combination with the computer system causes or programs computer system 2000 to be a special-purpose machine. According to one embodiment, the techniques herein are performed by computer system 2000 in response to processor(s) 2004 executing one or more sequences of one or more instructions contained in main memory 2006. Such instructions may be read into main memory 2006 from another storage medium, such as storage device 2010. Execution of the sequences of instructions contained in main memory 2006 causes processor(s) 2004 to perform the process steps described herein. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions.
The term “non-transitory media,” and similar terms, as used herein refers to any media that store data and/or instructions that cause a machine to operate in a specific fashion. Such non-transitory media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical or magnetic disks, such as storage device 2010. Volatile media includes dynamic memory, such as main memory 2006. Common forms of non-transitory media include, for example, a floppy disk, a flexible disk, hard disk, solid state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge, and networked versions of the same.
Non-transitory media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between non-transitory media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 2002. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.
Various forms of media may be involved in carrying one or more sequences of one or more instructions to processor 2004 for execution. For example, the instructions may initially be carried on a magnetic disk or solid state drive of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to computer system 2000 can receive the data on the telephone line and use an infra-red transmitter to convert the data to an infra-red signal. An infra-red detector can receive the data carried in the infra-red signal and appropriate circuitry can place the data on bus 2002. Bus 2002 carries the data to main memory 2006, from which processor 2004 retrieves and executes the instructions. The instructions received by main memory 2006 may retrieve and execute the instructions. The instructions received by main memory 2006 may optionally be stored on storage device 2010 either before or after execution by processor 2004.
Computer system 2000 also includes a communication interface 2018 coupled to bus 2002. Communication interface 2018 provides a two-way data communication coupling to a network link 2020 that is connected to a local network 2022. For example, communication interface 2018 may be an integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, communication interface 2018 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN (or WAN component to communicated with a WAN). Wireless links may also be implemented. In any such implementation, communication interface 2018 sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.
Network link 2020 typically provides data communication through one or more networks to other data devices. For example, network link 2020 may provide a connection through local network 2022 to a host computer 2024 or to data equipment operated by an Internet Service Provider (ISP) 2026. ISP 2026 in turn provides data communication services through the world wide packet data communication network now commonly referred to as the “Internet” 2028. Local network 2022 and Internet 2028 both use electrical, electromagnetic or optical signals that carry digital data streams. The signals through the various networks and the signals on network link 2020 and through communication interface 2018, which carry the digital data to and from computer system 2000, are example forms of transmission media.
Computer system 2000 can send messages and receive data, including program code, through the network(s), network link 2020 and communication interface 2018. In the Internet example, a server 2030 might transmit a requested code for an application program through Internet 2028, ISP 2026, local network 2022 and communication interface 2018.
The received code may be executed by processor 2004 as it is received, and/or stored in storage device 2010, or other non-volatile storage for later execution.
Each of the processes, methods, and algorithms described in the preceding sections may be embodied in, and fully or partially automated by, code modules executed by one or more computer systems or computer processors comprising computer hardware. The processes and algorithms may be implemented partially or wholly in application-specific circuitry.
The various features and processes described above may be used independently of one another, or may be combined in various ways. All possible combinations and subcombinations are intended to fall within the scope of this disclosure. In addition, certain method or process blocks may be omitted in some implementations. The methods and processes described herein are also not limited to any particular sequence, and the blocks or states relating thereto can be performed in other sequences that are appropriate. For example, described blocks or states may be performed in an order other than that specifically disclosed, or multiple blocks or states may be combined in a single block or state. The example blocks or states may be performed in serial, in parallel, or in some other manner. Blocks or states may be added to or removed from the disclosed example embodiments. The example systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged compared to the disclosed example embodiments.
Conditional language, such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.
The term “comprising” as used herein should be given an inclusive rather than exclusive interpretation. For example, a general purpose computer comprising one or more processors should not be interpreted as excluding other computer components, and may possibly include such components as memory, input/output devices, and/or network interfaces, among others.
Any process descriptions, elements, or blocks in the flow diagrams described herein and/or depicted in the attached figures should be understood as potentially representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of the embodiments described herein in which elements or functions may be deleted, executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those skilled in the art.
It should be emphasized that many variations and modifications may be made to the above-described embodiments, the elements of which are to be understood as being among other acceptable examples. All such modifications and variations are intended to be included herein within the scope of this disclosure. The foregoing description details certain embodiments of the invention. It will be appreciated, however, that no matter how detailed the foregoing appears in text, the invention can be practiced in many ways. As is also stated above, it should be noted that the use of particular terminology when describing certain features or aspects of the invention should not be taken to imply that the terminology is being re-defined herein to be restricted to including any specific characteristics of the features or aspects of the invention with which that terminology is associated. The scope of the invention should therefore be construed in accordance with the appended claims and any equivalents thereof.
This application claims priority under 35 U.S.C. § 120 and is a continuation of U.S. patent application Ser. No. 14/874,303, entitled “DATA AGGREGATION AND ANALYSIS SYSTEM” and filed on Oct. 2, 2015, which claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Application No. 62/059,601, entitled “CHRONICLE TIME-SERIES ANALYSIS SYSTEM” and filed on Oct. 3, 2014, U.S. Provisional Application No. 62/206,159, entitled “TIME-SERIES ANALYSIS SYSTEM” and filed on Aug. 17, 2015, and U.S. Provisional Application No. 62/175,804, entitled “DATA AGGREGATION AND ANALYSIS SYSTEM” and filed on Jun. 15, 2015, all of which are hereby incorporated by reference in their entireties. U.S. patent application Ser. No. 14/874,303 also claims priority under 35 U.S.C. § 120 as a Continuation-in-Part to U.S. application Ser. No. 14/871,465 (now U.S. Pat. No. 9,501,851) entitled “TIME-SERIES ANALYSIS SYSTEM” and filed on Sep. 30, 2015, which claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Application No. 62/059,601, entitled “CHRONICLE TIME-SERIES ANALYSIS SYSTEM” and filed on Oct. 3, 2014, and to U.S. Provisional Application No. 62/206,159, entitled “TIME-SERIES ANALYSIS SYSTEM” and filed on Aug. 17, 2015, the contents of which are hereby incorporated by reference in their entirety.
| Number | Name | Date | Kind |
|---|---|---|---|
| 4881179 | Vincent | Nov 1989 | A |
| 5109399 | Thompson | Apr 1992 | A |
| 5241625 | Epard et al. | Aug 1993 | A |
| 5329108 | Lamoure | Jul 1994 | A |
| 5632009 | Rao et al. | May 1997 | A |
| 5670987 | Doi et al. | Sep 1997 | A |
| 5729745 | Reina et al. | Mar 1998 | A |
| 5781704 | Rossmo | Jul 1998 | A |
| 5798769 | Chiu et al. | Aug 1998 | A |
| 5845300 | Comer | Dec 1998 | A |
| 5933597 | Hogan | Aug 1999 | A |
| 5999911 | Berg et al. | Dec 1999 | A |
| 6057757 | Arrowsmith et al. | May 2000 | A |
| 6065026 | Cornelia et al. | May 2000 | A |
| 6091956 | Hollenberg | Jul 2000 | A |
| 6101479 | Shaw | Aug 2000 | A |
| 6161098 | Wallman | Dec 2000 | A |
| 6219053 | Tachibana et al. | Apr 2001 | B1 |
| 6232971 | Haynes | May 2001 | B1 |
| 6237138 | Hameluck et al. | May 2001 | B1 |
| 6243706 | Moreau et al. | Jun 2001 | B1 |
| 6247019 | Davies | Jun 2001 | B1 |
| 6279018 | Kudrolli et al. | Aug 2001 | B1 |
| 6341310 | Leshem et al. | Jan 2002 | B1 |
| 6356285 | Burkwald | Mar 2002 | B1 |
| 6366933 | Ball et al. | Apr 2002 | B1 |
| 6369835 | Lin | Apr 2002 | B1 |
| 6370538 | Lamping et al. | Apr 2002 | B1 |
| 6374251 | Fayyad et al. | Apr 2002 | B1 |
| 6430305 | Decker | Aug 2002 | B1 |
| 6456997 | Shukla | Sep 2002 | B1 |
| 6523019 | Borthwick | Feb 2003 | B1 |
| 6549944 | Weinberg et al. | Apr 2003 | B1 |
| 6560620 | Ching | May 2003 | B1 |
| 6581068 | Bensoussan et al. | Jun 2003 | B1 |
| 6594672 | Lampson et al. | Jul 2003 | B1 |
| 6631496 | Li et al. | Oct 2003 | B1 |
| 6642945 | Sharpe | Nov 2003 | B1 |
| 6665683 | Meltzer | Dec 2003 | B1 |
| 6674434 | Chojnacki et al. | Jan 2004 | B1 |
| 6714936 | Nevin, III | Mar 2004 | B1 |
| 6775675 | Nwabueze et al. | Aug 2004 | B1 |
| 6820135 | Dingman | Nov 2004 | B1 |
| 6828920 | Owen et al. | Dec 2004 | B2 |
| 6839745 | Dingari et al. | Jan 2005 | B1 |
| 6850317 | Mullins et al. | Feb 2005 | B2 |
| 6877137 | Rivette et al. | Apr 2005 | B1 |
| 6944777 | Belani et al. | Sep 2005 | B1 |
| 6944821 | Bates et al. | Sep 2005 | B1 |
| 6967589 | Peters | Nov 2005 | B1 |
| 6976210 | Silva et al. | Dec 2005 | B1 |
| 6978419 | Kantrowitz | Dec 2005 | B1 |
| 6980984 | Huffman et al. | Dec 2005 | B1 |
| 6985950 | Hanson et al. | Jan 2006 | B1 |
| 7036085 | Barros | Apr 2006 | B2 |
| 7043702 | Chi et al. | May 2006 | B2 |
| 7055110 | Kupka et al. | May 2006 | B2 |
| 7086028 | Davis et al. | Aug 2006 | B1 |
| 7139800 | Bellotti et al. | Nov 2006 | B2 |
| 7158878 | Rasmussen et al. | Jan 2007 | B2 |
| 7162475 | Ackerman | Jan 2007 | B2 |
| 7168039 | Bertram | Jan 2007 | B2 |
| 7171427 | Witowski et al. | Jan 2007 | B2 |
| 7174377 | Bernard et al. | Feb 2007 | B2 |
| 7194680 | Roy et al. | Mar 2007 | B1 |
| 7213030 | Jenkins | May 2007 | B1 |
| 7269786 | Malloy et al. | Sep 2007 | B1 |
| 7278105 | Kitts | Oct 2007 | B1 |
| 7290698 | Poslinski et al. | Nov 2007 | B2 |
| 7333998 | Heckerman et al. | Feb 2008 | B2 |
| 7370047 | Gorman | May 2008 | B2 |
| 7379811 | Rasmussen et al. | May 2008 | B2 |
| 7379903 | Caballero et al. | May 2008 | B2 |
| 7392254 | Jenkins | Jun 2008 | B1 |
| 7426654 | Adams et al. | Sep 2008 | B2 |
| 7441182 | Beilinson et al. | Oct 2008 | B2 |
| 7441219 | Perry et al. | Oct 2008 | B2 |
| 7454466 | Bellotti et al. | Nov 2008 | B2 |
| 7467375 | Tondreau et al. | Dec 2008 | B2 |
| 7487139 | Fraleigh et al. | Feb 2009 | B2 |
| 7502786 | Liu et al. | Mar 2009 | B2 |
| 7525422 | Bishop et al. | Apr 2009 | B2 |
| 7529727 | Arning et al. | May 2009 | B2 |
| 7529734 | Dirisala | May 2009 | B2 |
| 7558677 | Jones | Jul 2009 | B2 |
| 7574409 | Patinkin | Aug 2009 | B2 |
| 7574428 | Leiserowitz et al. | Aug 2009 | B2 |
| 7579965 | Bucholz | Aug 2009 | B2 |
| 7596285 | Brown et al. | Sep 2009 | B2 |
| 7614006 | Molander | Nov 2009 | B2 |
| 7617232 | Gabbert et al. | Nov 2009 | B2 |
| 7620628 | Kapur et al. | Nov 2009 | B2 |
| 7627812 | Chamberlain et al. | Dec 2009 | B2 |
| 7634717 | Chamberlain et al. | Dec 2009 | B2 |
| 7703021 | Flam | Apr 2010 | B1 |
| 7706817 | Bamrah et al. | Apr 2010 | B2 |
| 7712049 | Williams et al. | May 2010 | B2 |
| 7716077 | Mikurak | May 2010 | B1 |
| 7716140 | Nielsen et al. | May 2010 | B1 |
| 7725530 | Sah et al. | May 2010 | B2 |
| 7725547 | Albertson et al. | May 2010 | B2 |
| 7730082 | Sah et al. | Jun 2010 | B2 |
| 7730109 | Rohrs et al. | Jun 2010 | B2 |
| 7765489 | Shah | Jul 2010 | B1 |
| 7770100 | Chamberlain et al. | Aug 2010 | B2 |
| 7805457 | Viola et al. | Sep 2010 | B1 |
| 7809703 | Balabhadrapatruni et al. | Oct 2010 | B2 |
| 7818291 | Ferguson et al. | Oct 2010 | B2 |
| 7818658 | Chen | Oct 2010 | B2 |
| 7870493 | Pall et al. | Jan 2011 | B2 |
| 7877421 | Berger et al. | Jan 2011 | B2 |
| 7880921 | Dattilo et al. | Feb 2011 | B2 |
| 7894984 | Rasmussen et al. | Feb 2011 | B2 |
| 7899611 | Downs et al. | Mar 2011 | B2 |
| 7899796 | Borthwick et al. | Mar 2011 | B1 |
| 7917376 | Bellin et al. | Mar 2011 | B2 |
| 7920963 | Jouline et al. | Apr 2011 | B2 |
| 7933862 | Chamberlain et al. | Apr 2011 | B2 |
| 7941321 | Greenstein et al. | May 2011 | B2 |
| 7941336 | Robin-Jan | May 2011 | B1 |
| 7958147 | Turner et al. | Jun 2011 | B1 |
| 7962281 | Rasmussen et al. | Jun 2011 | B2 |
| 7962495 | Jain et al. | Jun 2011 | B2 |
| 7962848 | Bertram | Jun 2011 | B2 |
| 7966199 | Frasher | Jun 2011 | B1 |
| 7970240 | Chao et al. | Jun 2011 | B1 |
| 7971150 | Raskutti et al. | Jun 2011 | B2 |
| 7984374 | Caro et al. | Jul 2011 | B2 |
| 8001465 | Kudrolli et al. | Aug 2011 | B2 |
| 8001482 | Bhattiprolu et al. | Aug 2011 | B2 |
| 8010507 | Poston et al. | Aug 2011 | B2 |
| 8010545 | Stefik et al. | Aug 2011 | B2 |
| 8015487 | Roy et al. | Sep 2011 | B2 |
| 8024778 | Cash et al. | Sep 2011 | B2 |
| 8036632 | Cona et al. | Oct 2011 | B1 |
| 8036971 | Aymeloglu et al. | Oct 2011 | B2 |
| 8042110 | Kawahara et al. | Oct 2011 | B1 |
| 8046283 | Burns | Oct 2011 | B2 |
| 8054756 | Chand et al. | Nov 2011 | B2 |
| 8073857 | Sreekanth | Dec 2011 | B2 |
| 8103543 | Zwicky | Jan 2012 | B1 |
| 8134457 | Velipasalar et al. | Mar 2012 | B2 |
| 8145703 | Frishert et al. | Mar 2012 | B2 |
| 8185819 | Sah et al. | May 2012 | B2 |
| 8191005 | Baier et al. | May 2012 | B2 |
| 8214361 | Sandler et al. | Jul 2012 | B1 |
| 8214764 | Gemmell et al. | Jul 2012 | B2 |
| 8225201 | Michael | Jul 2012 | B2 |
| 8229902 | Vishniac et al. | Jul 2012 | B2 |
| 8229947 | Fujinaga | Jul 2012 | B2 |
| 8230333 | Decherd et al. | Jul 2012 | B2 |
| 8271461 | Pike et al. | Sep 2012 | B2 |
| 8280880 | Aymeloglu et al. | Oct 2012 | B1 |
| 8290838 | Thakur et al. | Oct 2012 | B1 |
| 8290926 | Ozzie et al. | Oct 2012 | B2 |
| 8290942 | Jones et al. | Oct 2012 | B2 |
| 8291490 | Ahmed et al. | Oct 2012 | B1 |
| 8301464 | Cave et al. | Oct 2012 | B1 |
| 8301904 | Gryaznov | Oct 2012 | B1 |
| 8302855 | Ma et al. | Nov 2012 | B2 |
| 8312367 | Foster | Nov 2012 | B2 |
| 8312546 | Alme | Nov 2012 | B2 |
| 8352881 | Champion et al. | Jan 2013 | B2 |
| 8365079 | Kenna et al. | Jan 2013 | B2 |
| 8368695 | Howell et al. | Feb 2013 | B2 |
| 8386377 | Xiong et al. | Feb 2013 | B1 |
| 8392556 | Goulet et al. | Mar 2013 | B2 |
| 8397171 | Klassen et al. | Mar 2013 | B2 |
| 8412707 | Mianji | Apr 2013 | B1 |
| 8447722 | Ahuja et al. | May 2013 | B1 |
| 8452790 | Mianji | May 2013 | B1 |
| 8463036 | Ramesh et al. | Jun 2013 | B1 |
| 8473454 | Evanitsky et al. | Jun 2013 | B2 |
| 8484115 | Aymeloglu et al. | Jul 2013 | B2 |
| 8489331 | Kopf et al. | Jul 2013 | B2 |
| 8489641 | Seefeld et al. | Jul 2013 | B1 |
| 8498984 | Hwang et al. | Jul 2013 | B1 |
| 8510743 | Hackborn et al. | Aug 2013 | B2 |
| 8514082 | Cova et al. | Aug 2013 | B2 |
| 8515207 | Chau | Aug 2013 | B2 |
| 8527949 | Pleis et al. | Sep 2013 | B1 |
| 8528061 | Davis | Sep 2013 | B1 |
| 8554579 | Tribble et al. | Oct 2013 | B2 |
| 8554653 | Falkenborg et al. | Oct 2013 | B2 |
| 8554709 | Goodson et al. | Oct 2013 | B2 |
| 8560413 | Quarterman | Oct 2013 | B1 |
| 8577911 | Stepinski et al. | Nov 2013 | B1 |
| 8589273 | Creeden et al. | Nov 2013 | B2 |
| 8595234 | Siripuapu et al. | Nov 2013 | B2 |
| 8620641 | Farnsworth et al. | Dec 2013 | B2 |
| 8639757 | Zang et al. | Jan 2014 | B1 |
| 8646080 | Williamson et al. | Feb 2014 | B2 |
| 8676857 | Adams et al. | Mar 2014 | B1 |
| 8682696 | Shanmugam | Mar 2014 | B1 |
| 8688573 | Ruknoic et al. | Apr 2014 | B1 |
| 8689108 | Duffield et al. | Apr 2014 | B1 |
| 8713467 | Goldenberg et al. | Apr 2014 | B1 |
| 8726379 | Stiansen et al. | May 2014 | B1 |
| 8732574 | Burr et al. | May 2014 | B2 |
| 8739278 | Varghese | May 2014 | B2 |
| 8742934 | Sarpy et al. | Jun 2014 | B1 |
| 8744890 | Bernier | Jun 2014 | B1 |
| 8745516 | Mason et al. | Jun 2014 | B2 |
| 8781169 | Jackson et al. | Jul 2014 | B2 |
| 8787939 | Papakipos et al. | Jul 2014 | B2 |
| 8788407 | Singh et al. | Jul 2014 | B1 |
| 8798354 | Bunzel et al. | Aug 2014 | B1 |
| 8799313 | Satlow | Aug 2014 | B2 |
| 8799799 | Cervelli et al. | Aug 2014 | B1 |
| 8807948 | Luo et al. | Aug 2014 | B2 |
| 8812960 | Sun et al. | Aug 2014 | B1 |
| 8830322 | Nerayoff et al. | Sep 2014 | B2 |
| 8832594 | Thompson et al. | Sep 2014 | B1 |
| 8868537 | Colgrove et al. | Oct 2014 | B1 |
| 8917274 | Ma et al. | Dec 2014 | B2 |
| 8924388 | Elliot et al. | Dec 2014 | B2 |
| 8924389 | Elliot et al. | Dec 2014 | B2 |
| 8924872 | Bogomolov et al. | Dec 2014 | B1 |
| 8930874 | Duff et al. | Jan 2015 | B2 |
| 8937619 | Sharma et al. | Jan 2015 | B2 |
| 8938686 | Erenrich et al. | Jan 2015 | B1 |
| 8949164 | Mohler | Feb 2015 | B1 |
| 8984390 | Aymeloglu et al. | Mar 2015 | B2 |
| 9009171 | Grossman et al. | Apr 2015 | B1 |
| 9009827 | Albertson et al. | Apr 2015 | B1 |
| 9021260 | Falk et al. | Apr 2015 | B1 |
| 9021384 | Beard et al. | Apr 2015 | B1 |
| 9043696 | Meiklejohn et al. | May 2015 | B1 |
| 9043894 | Dennison et al. | May 2015 | B1 |
| 9058315 | Burr et al. | Jun 2015 | B2 |
| 9069842 | Melby | Jun 2015 | B2 |
| 9100428 | Visbal | Aug 2015 | B1 |
| 9116975 | Shankar et al. | Aug 2015 | B2 |
| 9165100 | Begur et al. | Oct 2015 | B2 |
| 9268615 | Calsyn et al. | Feb 2016 | B2 |
| 9286373 | Elliot et al. | Mar 2016 | B2 |
| 9348880 | Kramer et al. | May 2016 | B1 |
| 9501851 | Cervelli et al. | Nov 2016 | B2 |
| 9767172 | Fackler et al. | Sep 2017 | B2 |
| 10360702 | Cervelli et al. | Jul 2019 | B2 |
| 20010021936 | Bertram | Sep 2001 | A1 |
| 20020032677 | Morgenthaler et al. | Mar 2002 | A1 |
| 20020033848 | Sciammarella et al. | Mar 2002 | A1 |
| 20020065708 | Senay et al. | May 2002 | A1 |
| 20020070965 | Austin | Jun 2002 | A1 |
| 20020091707 | Keller | Jul 2002 | A1 |
| 20020095360 | Joao | Jul 2002 | A1 |
| 20020095658 | Shulman | Jul 2002 | A1 |
| 20020103705 | Brady | Aug 2002 | A1 |
| 20020116120 | Ruiz et al. | Aug 2002 | A1 |
| 20020130907 | Chi et al. | Sep 2002 | A1 |
| 20020147805 | Leshem et al. | Oct 2002 | A1 |
| 20020174201 | Ramer et al. | Nov 2002 | A1 |
| 20020194119 | Wright et al. | Dec 2002 | A1 |
| 20020196229 | Chen et al. | Dec 2002 | A1 |
| 20030028560 | Kudrolli et al. | Feb 2003 | A1 |
| 20030036848 | Sheha et al. | Feb 2003 | A1 |
| 20030036927 | Bowen | Feb 2003 | A1 |
| 20030039948 | Donahue | Feb 2003 | A1 |
| 20030061132 | Mason et al. | Mar 2003 | A1 |
| 20030093755 | O'Carroll | May 2003 | A1 |
| 20030126102 | Borthwick | Jul 2003 | A1 |
| 20030140106 | Raguseo | Jul 2003 | A1 |
| 20030144868 | MacIntyre et al. | Jul 2003 | A1 |
| 20030163352 | Surpin et al. | Aug 2003 | A1 |
| 20030200217 | Ackerman | Oct 2003 | A1 |
| 20030225755 | Iwayama et al. | Dec 2003 | A1 |
| 20030227461 | Hux | Dec 2003 | A1 |
| 20030229848 | Arend et al. | Dec 2003 | A1 |
| 20040032432 | Baynger | Feb 2004 | A1 |
| 20040034570 | Davis | Feb 2004 | A1 |
| 20040044648 | Anfindsen et al. | Mar 2004 | A1 |
| 20040064256 | Barinek et al. | Apr 2004 | A1 |
| 20040078451 | Dietz et al. | Apr 2004 | A1 |
| 20040085318 | Hassler et al. | May 2004 | A1 |
| 20040095349 | Bito et al. | May 2004 | A1 |
| 20040111410 | Burgoon et al. | Jun 2004 | A1 |
| 20040126840 | Cheng et al. | Jul 2004 | A1 |
| 20040143602 | Ruiz et al. | Jul 2004 | A1 |
| 20040143796 | Lerner et al. | Jul 2004 | A1 |
| 20040153418 | Hanweck | Aug 2004 | A1 |
| 20040163039 | Gorman | Aug 2004 | A1 |
| 20040181554 | Heckerman et al. | Sep 2004 | A1 |
| 20040193600 | Kaasten et al. | Sep 2004 | A1 |
| 20040205492 | Newsome | Oct 2004 | A1 |
| 20040221223 | Yu et al. | Nov 2004 | A1 |
| 20040236688 | Bozeman | Nov 2004 | A1 |
| 20040236711 | Nixon et al. | Nov 2004 | A1 |
| 20040260702 | Cragun et al. | Dec 2004 | A1 |
| 20040267746 | Marcjan et al. | Dec 2004 | A1 |
| 20050010472 | Quatse et al. | Jan 2005 | A1 |
| 20050027705 | Sadri et al. | Feb 2005 | A1 |
| 20050028094 | Allyn | Feb 2005 | A1 |
| 20050039116 | Slack-Smith | Feb 2005 | A1 |
| 20050039119 | Parks et al. | Feb 2005 | A1 |
| 20050065811 | Chu et al. | Mar 2005 | A1 |
| 20050078858 | Yao et al. | Apr 2005 | A1 |
| 20050080769 | Gemmell | Apr 2005 | A1 |
| 20050086207 | Heuer et al. | Apr 2005 | A1 |
| 20050091186 | Elish | Apr 2005 | A1 |
| 20050125715 | Di Franco et al. | Jun 2005 | A1 |
| 20050154628 | Eckart et al. | Jul 2005 | A1 |
| 20050154769 | Eckart et al. | Jul 2005 | A1 |
| 20050162523 | Darrell et al. | Jul 2005 | A1 |
| 20050166144 | Gross | Jul 2005 | A1 |
| 20050180330 | Shapiro | Aug 2005 | A1 |
| 20050182793 | Keenan et al. | Aug 2005 | A1 |
| 20050183005 | Denoue et al. | Aug 2005 | A1 |
| 20050193324 | Purple | Sep 2005 | A1 |
| 20050210409 | Jou | Sep 2005 | A1 |
| 20050246327 | Yeung et al. | Nov 2005 | A1 |
| 20050251786 | Citron et al. | Nov 2005 | A1 |
| 20060026120 | Carolan et al. | Feb 2006 | A1 |
| 20060026170 | Kreitler et al. | Feb 2006 | A1 |
| 20060026561 | Bauman et al. | Feb 2006 | A1 |
| 20060031779 | Theurer et al. | Feb 2006 | A1 |
| 20060045470 | Poslinski et al. | Mar 2006 | A1 |
| 20060053097 | King et al. | Mar 2006 | A1 |
| 20060053170 | Hill et al. | Mar 2006 | A1 |
| 20060053194 | Schneider et al. | Mar 2006 | A1 |
| 20060059139 | Robinson | Mar 2006 | A1 |
| 20060059423 | Lehmann et al. | Mar 2006 | A1 |
| 20060074866 | Chamberlain et al. | Apr 2006 | A1 |
| 20060074881 | Vembu et al. | Apr 2006 | A1 |
| 20060080139 | Mainzer | Apr 2006 | A1 |
| 20060080283 | Shipman | Apr 2006 | A1 |
| 20060080619 | Carlson et al. | Apr 2006 | A1 |
| 20060093222 | Saffer et al. | May 2006 | A1 |
| 20060129746 | Porter | Jun 2006 | A1 |
| 20060136513 | Ngo et al. | Jun 2006 | A1 |
| 20060139375 | Rasmussen et al. | Jun 2006 | A1 |
| 20060142949 | Helt | Jun 2006 | A1 |
| 20060143034 | Rothermel | Jun 2006 | A1 |
| 20060143075 | Carr et al. | Jun 2006 | A1 |
| 20060143079 | Basak et al. | Jun 2006 | A1 |
| 20060149596 | Surpin et al. | Jul 2006 | A1 |
| 20060155654 | Plessis et al. | Jul 2006 | A1 |
| 20060178915 | Chao | Aug 2006 | A1 |
| 20060203337 | White | Sep 2006 | A1 |
| 20060218637 | Thomas et al. | Sep 2006 | A1 |
| 20060241974 | Chao et al. | Oct 2006 | A1 |
| 20060242040 | Rader et al. | Oct 2006 | A1 |
| 20060242630 | Koike et al. | Oct 2006 | A1 |
| 20060265417 | Amato et al. | Nov 2006 | A1 |
| 20060271277 | Hu et al. | Nov 2006 | A1 |
| 20060277460 | Forstall et al. | Dec 2006 | A1 |
| 20060279630 | Aggarwal et al. | Dec 2006 | A1 |
| 20070000999 | Kubo et al. | Jan 2007 | A1 |
| 20070011150 | Frank | Jan 2007 | A1 |
| 20070011304 | Error | Jan 2007 | A1 |
| 20070016363 | Huang et al. | Jan 2007 | A1 |
| 20070018986 | Hauser | Jan 2007 | A1 |
| 20070038646 | Thota | Feb 2007 | A1 |
| 20070038962 | Fuchs et al. | Feb 2007 | A1 |
| 20070043686 | Teng et al. | Feb 2007 | A1 |
| 20070057966 | Ohno et al. | Mar 2007 | A1 |
| 20070061752 | Cory | Mar 2007 | A1 |
| 20070078832 | Ott et al. | Apr 2007 | A1 |
| 20070083541 | Fraleigh et al. | Apr 2007 | A1 |
| 20070088596 | Berkelhamer et al. | Apr 2007 | A1 |
| 20070094389 | Nussey et al. | Apr 2007 | A1 |
| 20070113164 | Hansen et al. | May 2007 | A1 |
| 20070136095 | Weinstein | Jun 2007 | A1 |
| 20070150369 | Zivin | Jun 2007 | A1 |
| 20070156673 | Maga | Jul 2007 | A1 |
| 20070162454 | D'Albora et al. | Jul 2007 | A1 |
| 20070168871 | Jenkins | Jul 2007 | A1 |
| 20070174760 | Chamberlain et al. | Jul 2007 | A1 |
| 20070185850 | Walters et al. | Aug 2007 | A1 |
| 20070185867 | Maga | Aug 2007 | A1 |
| 20070192122 | Routson et al. | Aug 2007 | A1 |
| 20070192265 | Chopin et al. | Aug 2007 | A1 |
| 20070198571 | Ferguson et al. | Aug 2007 | A1 |
| 20070208497 | Downs et al. | Sep 2007 | A1 |
| 20070208498 | Barker et al. | Sep 2007 | A1 |
| 20070208736 | Tanigawa et al. | Sep 2007 | A1 |
| 20070233709 | Abnous | Oct 2007 | A1 |
| 20070240062 | Christena et al. | Oct 2007 | A1 |
| 20070245339 | Bauman et al. | Oct 2007 | A1 |
| 20070266336 | Nojima et al. | Nov 2007 | A1 |
| 20070284433 | Domenica et al. | Dec 2007 | A1 |
| 20070294643 | Kyle | Dec 2007 | A1 |
| 20070299697 | Friedlander et al. | Dec 2007 | A1 |
| 20080016155 | Khalatian | Jan 2008 | A1 |
| 20080016216 | Worley et al. | Jan 2008 | A1 |
| 20080040275 | Paulsen et al. | Feb 2008 | A1 |
| 20080040684 | Crump | Feb 2008 | A1 |
| 20080051989 | Welsh | Feb 2008 | A1 |
| 20080052142 | Bailey et al. | Feb 2008 | A1 |
| 20080077597 | Butler | Mar 2008 | A1 |
| 20080077642 | Carbone et al. | Mar 2008 | A1 |
| 20080082486 | Lermant et al. | Apr 2008 | A1 |
| 20080091693 | Murthy | Apr 2008 | A1 |
| 20080104019 | Nath | May 2008 | A1 |
| 20080109714 | Kumar et al. | May 2008 | A1 |
| 20080126951 | Sood et al. | May 2008 | A1 |
| 20080148398 | Mezack et al. | Jun 2008 | A1 |
| 20080155440 | Trevor et al. | Jun 2008 | A1 |
| 20080162616 | Gross et al. | Jul 2008 | A1 |
| 20080172607 | Baer | Jul 2008 | A1 |
| 20080177782 | Poston et al. | Jul 2008 | A1 |
| 20080186904 | Koyama et al. | Aug 2008 | A1 |
| 20080195417 | Surpin et al. | Aug 2008 | A1 |
| 20080195608 | Clover | Aug 2008 | A1 |
| 20080208735 | Balet et al. | Aug 2008 | A1 |
| 20080222295 | Robinson et al. | Sep 2008 | A1 |
| 20080249820 | Pathria | Oct 2008 | A1 |
| 20080249983 | Meisels et al. | Oct 2008 | A1 |
| 20080255973 | El Wade et al. | Oct 2008 | A1 |
| 20080263468 | Cappione et al. | Oct 2008 | A1 |
| 20080267107 | Rosenberg | Oct 2008 | A1 |
| 20080270328 | Lafferty et al. | Oct 2008 | A1 |
| 20080276167 | Michael | Nov 2008 | A1 |
| 20080278311 | Grange et al. | Nov 2008 | A1 |
| 20080281819 | Tenenbaum et al. | Nov 2008 | A1 |
| 20080288306 | MacIntyre et al. | Nov 2008 | A1 |
| 20080288475 | Kim et al. | Nov 2008 | A1 |
| 20080301042 | Patzer | Dec 2008 | A1 |
| 20080301559 | Martinsen et al. | Dec 2008 | A1 |
| 20080301643 | Appleton et al. | Dec 2008 | A1 |
| 20080313132 | Hao et al. | Dec 2008 | A1 |
| 20080313243 | Poston et al. | Dec 2008 | A1 |
| 20080313281 | Scheidl et al. | Dec 2008 | A1 |
| 20090002492 | Velipasalar et al. | Jan 2009 | A1 |
| 20090024962 | Gotz | Jan 2009 | A1 |
| 20090027418 | Maru et al. | Jan 2009 | A1 |
| 20090030915 | Winter et al. | Jan 2009 | A1 |
| 20090031401 | Cudich et al. | Jan 2009 | A1 |
| 20090037912 | Stoitsev et al. | Feb 2009 | A1 |
| 20090043801 | LeClair | Feb 2009 | A1 |
| 20090055251 | Shah et al. | Feb 2009 | A1 |
| 20090070162 | Leonelli et al. | Mar 2009 | A1 |
| 20090076845 | Bellin et al. | Mar 2009 | A1 |
| 20090088964 | Schaaf et al. | Apr 2009 | A1 |
| 20090089651 | Herberger et al. | Apr 2009 | A1 |
| 20090094270 | Alirez et al. | Apr 2009 | A1 |
| 20090106178 | Chu | Apr 2009 | A1 |
| 20090112678 | Luzardo | Apr 2009 | A1 |
| 20090112745 | Stefanescu | Apr 2009 | A1 |
| 20090119309 | Gibson et al. | May 2009 | A1 |
| 20090125359 | Knapic | May 2009 | A1 |
| 20090125369 | Kloosstra et al. | May 2009 | A1 |
| 20090125459 | Norton et al. | May 2009 | A1 |
| 20090132921 | Hwangbo et al. | May 2009 | A1 |
| 20090132953 | Reed et al. | May 2009 | A1 |
| 20090143052 | Bates et al. | Jun 2009 | A1 |
| 20090144262 | White et al. | Jun 2009 | A1 |
| 20090144274 | Fraleigh et al. | Jun 2009 | A1 |
| 20090150868 | Chakra et al. | Jun 2009 | A1 |
| 20090157732 | Hao et al. | Jun 2009 | A1 |
| 20090164934 | Bhattiprolu et al. | Jun 2009 | A1 |
| 20090171939 | Athsani et al. | Jul 2009 | A1 |
| 20090172511 | Decherd et al. | Jul 2009 | A1 |
| 20090172821 | Daira et al. | Jul 2009 | A1 |
| 20090177962 | Gusmorino et al. | Jul 2009 | A1 |
| 20090179892 | Tsuda et al. | Jul 2009 | A1 |
| 20090187464 | Bai et al. | Jul 2009 | A1 |
| 20090187546 | Whyte et al. | Jul 2009 | A1 |
| 20090187548 | Ji et al. | Jul 2009 | A1 |
| 20090199106 | Jonsson et al. | Aug 2009 | A1 |
| 20090216562 | Faulkner et al. | Aug 2009 | A1 |
| 20090222400 | Kupershmidt et al. | Sep 2009 | A1 |
| 20090222759 | Drieschner | Sep 2009 | A1 |
| 20090222760 | Halverson et al. | Sep 2009 | A1 |
| 20090228365 | Tomchek et al. | Sep 2009 | A1 |
| 20090234720 | George et al. | Sep 2009 | A1 |
| 20090248757 | Havewala et al. | Oct 2009 | A1 |
| 20090249178 | Ambrosino et al. | Oct 2009 | A1 |
| 20090249244 | Robinson et al. | Oct 2009 | A1 |
| 20090254970 | Agarwal et al. | Oct 2009 | A1 |
| 20090271343 | Vaiciulis et al. | Oct 2009 | A1 |
| 20090281839 | Lynn et al. | Nov 2009 | A1 |
| 20090282068 | Shockro et al. | Nov 2009 | A1 |
| 20090287470 | Farnsworth et al. | Nov 2009 | A1 |
| 20090292626 | Oxford | Nov 2009 | A1 |
| 20090300589 | Watters et al. | Dec 2009 | A1 |
| 20090307049 | Elliott et al. | Dec 2009 | A1 |
| 20090313463 | Pang et al. | Dec 2009 | A1 |
| 20090318775 | Michelson et al. | Dec 2009 | A1 |
| 20090319418 | Herz | Dec 2009 | A1 |
| 20090319891 | MacKinlay | Dec 2009 | A1 |
| 20100004857 | Pereira et al. | Jan 2010 | A1 |
| 20100011282 | Dollard et al. | Jan 2010 | A1 |
| 20100042922 | Bradateanu et al. | Feb 2010 | A1 |
| 20100057622 | Faith et al. | Mar 2010 | A1 |
| 20100057716 | Stefik et al. | Mar 2010 | A1 |
| 20100070523 | Delgo et al. | Mar 2010 | A1 |
| 20100070842 | Aymeloglu et al. | Mar 2010 | A1 |
| 20100070844 | Aymeloglu et al. | Mar 2010 | A1 |
| 20100070845 | Facemire et al. | Mar 2010 | A1 |
| 20100070897 | Aymeloglu et al. | Mar 2010 | A1 |
| 20100076813 | Ghosh et al. | Mar 2010 | A1 |
| 20100098318 | Anderson | Apr 2010 | A1 |
| 20100100963 | Mahaffey | Apr 2010 | A1 |
| 20100103124 | Kruzeniski et al. | Apr 2010 | A1 |
| 20100106752 | Eckardt et al. | Apr 2010 | A1 |
| 20100114887 | Conway et al. | May 2010 | A1 |
| 20100122152 | Chamberlain et al. | May 2010 | A1 |
| 20100131457 | Heimendinger | May 2010 | A1 |
| 20100131502 | Fordham | May 2010 | A1 |
| 20100161735 | Sharma | Jun 2010 | A1 |
| 20100162176 | Dunton | Jun 2010 | A1 |
| 20100191563 | Schlaifer et al. | Jul 2010 | A1 |
| 20100198684 | Eraker et al. | Aug 2010 | A1 |
| 20100199225 | Coleman et al. | Aug 2010 | A1 |
| 20100223260 | Wu | Sep 2010 | A1 |
| 20100228812 | Uomini | Sep 2010 | A1 |
| 20100238174 | Haub et al. | Sep 2010 | A1 |
| 20100250412 | Wagner | Sep 2010 | A1 |
| 20100262688 | Hussain et al. | Oct 2010 | A1 |
| 20100262901 | DiSalvo | Oct 2010 | A1 |
| 20100274674 | Roberts | Oct 2010 | A1 |
| 20100280851 | Merkin | Nov 2010 | A1 |
| 20100280857 | Liu et al. | Nov 2010 | A1 |
| 20100293174 | Bennett et al. | Nov 2010 | A1 |
| 20100306713 | Geisner et al. | Dec 2010 | A1 |
| 20100306722 | LeHoty et al. | Dec 2010 | A1 |
| 20100313119 | Baldwin et al. | Dec 2010 | A1 |
| 20100313239 | Chakra et al. | Dec 2010 | A1 |
| 20100318924 | Frankel et al. | Dec 2010 | A1 |
| 20100321399 | Ellren et al. | Dec 2010 | A1 |
| 20100325526 | Ellis et al. | Dec 2010 | A1 |
| 20100325581 | Finkelstein et al. | Dec 2010 | A1 |
| 20100330801 | Rouh | Dec 2010 | A1 |
| 20110004498 | Readshaw | Jan 2011 | A1 |
| 20110004626 | Naeymi-Rad et al. | Jan 2011 | A1 |
| 20110029526 | Knight et al. | Feb 2011 | A1 |
| 20110047159 | Baid et al. | Feb 2011 | A1 |
| 20110047540 | Williams et al. | Feb 2011 | A1 |
| 20110060753 | Shaked et al. | Mar 2011 | A1 |
| 20110061013 | Bilicki et al. | Mar 2011 | A1 |
| 20110066933 | Ludwig | Mar 2011 | A1 |
| 20110074788 | Regan et al. | Mar 2011 | A1 |
| 20110074811 | Hanson et al. | Mar 2011 | A1 |
| 20110078055 | Faribault et al. | Mar 2011 | A1 |
| 20110078173 | Seligmann et al. | Mar 2011 | A1 |
| 20110093327 | Fordyce, III et al. | Apr 2011 | A1 |
| 20110099133 | Chang et al. | Apr 2011 | A1 |
| 20110107196 | Foster | May 2011 | A1 |
| 20110107241 | Moore | May 2011 | A1 |
| 20110117878 | Barash et al. | May 2011 | A1 |
| 20110119100 | Ruhl et al. | May 2011 | A1 |
| 20110137766 | Rasmussen et al. | Jun 2011 | A1 |
| 20110153384 | Horne et al. | Jun 2011 | A1 |
| 20110161096 | Buehler et al. | Jun 2011 | A1 |
| 20110161409 | Nair | Jun 2011 | A1 |
| 20110167105 | Ramakrishnan et al. | Jul 2011 | A1 |
| 20110170799 | Carrino et al. | Jul 2011 | A1 |
| 20110173032 | Payne et al. | Jul 2011 | A1 |
| 20110173093 | Psota et al. | Jul 2011 | A1 |
| 20110179048 | Satlow | Jul 2011 | A1 |
| 20110185316 | Reid et al. | Jul 2011 | A1 |
| 20110208565 | Ross et al. | Aug 2011 | A1 |
| 20110208724 | Jones et al. | Aug 2011 | A1 |
| 20110213655 | Henkin | Sep 2011 | A1 |
| 20110218934 | Elser | Sep 2011 | A1 |
| 20110218955 | Tang | Sep 2011 | A1 |
| 20110219450 | McDougal et al. | Sep 2011 | A1 |
| 20110225198 | Edwards et al. | Sep 2011 | A1 |
| 20110225482 | Chan et al. | Sep 2011 | A1 |
| 20110225586 | Bentley et al. | Sep 2011 | A1 |
| 20110225650 | Margolies et al. | Sep 2011 | A1 |
| 20110238495 | Kang | Sep 2011 | A1 |
| 20110238553 | Raj et al. | Sep 2011 | A1 |
| 20110251951 | Kolkowtiz | Oct 2011 | A1 |
| 20110258158 | Resende et al. | Oct 2011 | A1 |
| 20110270604 | Qi et al. | Nov 2011 | A1 |
| 20110270705 | Parker | Nov 2011 | A1 |
| 20110289397 | Eastmond et al. | Nov 2011 | A1 |
| 20110289407 | Naik et al. | Nov 2011 | A1 |
| 20110289420 | Morioka et al. | Nov 2011 | A1 |
| 20110291851 | Whisenant | Dec 2011 | A1 |
| 20110295649 | Fine | Dec 2011 | A1 |
| 20110296289 | Tokashiki | Dec 2011 | A1 |
| 20110310005 | Chen et al. | Dec 2011 | A1 |
| 20110314007 | Dassa et al. | Dec 2011 | A1 |
| 20120004894 | Butler | Jan 2012 | A1 |
| 20120004904 | Shin et al. | Jan 2012 | A1 |
| 20120011238 | Rathod | Jan 2012 | A1 |
| 20120019559 | Siler et al. | Jan 2012 | A1 |
| 20120022945 | Falkenborg et al. | Jan 2012 | A1 |
| 20120036013 | Neuhaus et al. | Feb 2012 | A1 |
| 20120036434 | Oberstein | Feb 2012 | A1 |
| 20120050293 | Carlhian et al. | Mar 2012 | A1 |
| 20120054284 | Rakshit | Mar 2012 | A1 |
| 20120059853 | Jagota | Mar 2012 | A1 |
| 20120065987 | Farooq et al. | Mar 2012 | A1 |
| 20120066166 | Curbera et al. | Mar 2012 | A1 |
| 20120066296 | Appleton et al. | Mar 2012 | A1 |
| 20120072825 | Sherkin et al. | Mar 2012 | A1 |
| 20120079363 | Folting et al. | Mar 2012 | A1 |
| 20120084117 | Tavares et al. | Apr 2012 | A1 |
| 20120084118 | Bai et al. | Apr 2012 | A1 |
| 20120084184 | Raleigh | Apr 2012 | A1 |
| 20120106801 | Jackson | May 2012 | A1 |
| 20120117082 | Koperda et al. | May 2012 | A1 |
| 20120123989 | Yu et al. | May 2012 | A1 |
| 20120131512 | Takeuchi et al. | May 2012 | A1 |
| 20120137235 | TS et al. | May 2012 | A1 |
| 20120144335 | Abeln et al. | Jun 2012 | A1 |
| 20120159307 | Chung et al. | Jun 2012 | A1 |
| 20120159362 | Brown et al. | Jun 2012 | A1 |
| 20120159399 | Bastide et al. | Jun 2012 | A1 |
| 20120170847 | Tsukidate | Jul 2012 | A1 |
| 20120173381 | Smith | Jul 2012 | A1 |
| 20120173985 | Peppel | Jul 2012 | A1 |
| 20120180002 | Campbell et al. | Jul 2012 | A1 |
| 20120188252 | Law | Jul 2012 | A1 |
| 20120196557 | Reich et al. | Aug 2012 | A1 |
| 20120196558 | Reich et al. | Aug 2012 | A1 |
| 20120197651 | Robinson et al. | Aug 2012 | A1 |
| 20120197657 | Prodanovic | Aug 2012 | A1 |
| 20120197660 | Prodanovic | Aug 2012 | A1 |
| 20120203708 | Psota et al. | Aug 2012 | A1 |
| 20120208636 | Feige | Aug 2012 | A1 |
| 20120215784 | King et al. | Aug 2012 | A1 |
| 20120221511 | Gibson et al. | Aug 2012 | A1 |
| 20120221553 | Wittmer et al. | Aug 2012 | A1 |
| 20120221580 | Barney | Aug 2012 | A1 |
| 20120226590 | Love et al. | Sep 2012 | A1 |
| 20120245976 | Kumar et al. | Sep 2012 | A1 |
| 20120246148 | Dror | Sep 2012 | A1 |
| 20120254129 | Wheeler et al. | Oct 2012 | A1 |
| 20120266245 | McDougal et al. | Oct 2012 | A1 |
| 20120284345 | Costenaro et al. | Nov 2012 | A1 |
| 20120284670 | Kashik et al. | Nov 2012 | A1 |
| 20120290879 | Shibuya et al. | Nov 2012 | A1 |
| 20120296907 | Long et al. | Nov 2012 | A1 |
| 20120304244 | Xie et al. | Nov 2012 | A1 |
| 20120311684 | Paulsen et al. | Dec 2012 | A1 |
| 20120323829 | Stokes et al. | Dec 2012 | A1 |
| 20120323888 | Osann, Jr. | Dec 2012 | A1 |
| 20120330801 | McDougal et al. | Dec 2012 | A1 |
| 20120330973 | Ghuneim et al. | Dec 2012 | A1 |
| 20130006426 | Healey et al. | Jan 2013 | A1 |
| 20130006725 | Simanek et al. | Jan 2013 | A1 |
| 20130006916 | McBride et al. | Jan 2013 | A1 |
| 20130016106 | Yip et al. | Jan 2013 | A1 |
| 20130018796 | Kolhatkar et al. | Jan 2013 | A1 |
| 20130024268 | Manickavelu | Jan 2013 | A1 |
| 20130046635 | Grigg et al. | Feb 2013 | A1 |
| 20130046842 | Muntz et al. | Feb 2013 | A1 |
| 20130054306 | Bhalla | Feb 2013 | A1 |
| 20130055264 | Burr et al. | Feb 2013 | A1 |
| 20130057551 | Ebert et al. | Mar 2013 | A1 |
| 20130060786 | Serrano et al. | Mar 2013 | A1 |
| 20130061169 | Pearcy et al. | Mar 2013 | A1 |
| 20130073377 | Heath | Mar 2013 | A1 |
| 20130073454 | Busch | Mar 2013 | A1 |
| 20130078943 | Biage et al. | Mar 2013 | A1 |
| 20130086482 | Parsons | Apr 2013 | A1 |
| 20130096988 | Grossman et al. | Apr 2013 | A1 |
| 20130097482 | Marantz et al. | Apr 2013 | A1 |
| 20130101159 | Chao et al. | Apr 2013 | A1 |
| 20130110746 | Ahn | May 2013 | A1 |
| 20130110822 | Ikeda et al. | May 2013 | A1 |
| 20130110877 | Bonham et al. | May 2013 | A1 |
| 20130111320 | Campbell et al. | May 2013 | A1 |
| 20130117651 | Waldman et al. | May 2013 | A1 |
| 20130124567 | Balinsky et al. | May 2013 | A1 |
| 20130150004 | Rosen | Jun 2013 | A1 |
| 20130151148 | Parundekar et al. | Jun 2013 | A1 |
| 20130151305 | Akinola et al. | Jun 2013 | A1 |
| 20130151388 | Falkenborg et al. | Jun 2013 | A1 |
| 20130151453 | Bhanot et al. | Jun 2013 | A1 |
| 20130157234 | Gulli et al. | Jun 2013 | A1 |
| 20130166348 | Scotto | Jun 2013 | A1 |
| 20130166480 | Popescu et al. | Jun 2013 | A1 |
| 20130166550 | Buchmann et al. | Jun 2013 | A1 |
| 20130176321 | Mitchell et al. | Jul 2013 | A1 |
| 20130179420 | Park et al. | Jul 2013 | A1 |
| 20130185245 | Anderson | Jul 2013 | A1 |
| 20130185307 | El-Yaniv et al. | Jul 2013 | A1 |
| 20130197925 | Blue | Aug 2013 | A1 |
| 20130224696 | Wolfe et al. | Aug 2013 | A1 |
| 20130225212 | Khan | Aug 2013 | A1 |
| 20130226318 | Procyk | Aug 2013 | A1 |
| 20130226953 | Markovich et al. | Aug 2013 | A1 |
| 20130232045 | Tai et al. | Sep 2013 | A1 |
| 20130232128 | Krishnan et al. | Sep 2013 | A1 |
| 20130238616 | Rose et al. | Sep 2013 | A1 |
| 20130246170 | Gross et al. | Sep 2013 | A1 |
| 20130246537 | Gaddala | Sep 2013 | A1 |
| 20130251233 | Yang et al. | Sep 2013 | A1 |
| 20130262527 | Hunter et al. | Oct 2013 | A1 |
| 20130262528 | Foit | Oct 2013 | A1 |
| 20130263019 | Castellanos et al. | Oct 2013 | A1 |
| 20130267207 | Hao et al. | Oct 2013 | A1 |
| 20130268520 | Fisher et al. | Oct 2013 | A1 |
| 20130279757 | Kephart | Oct 2013 | A1 |
| 20130282696 | John et al. | Oct 2013 | A1 |
| 20130288719 | Alonzo | Oct 2013 | A1 |
| 20130290011 | Lynn et al. | Oct 2013 | A1 |
| 20130290825 | Arndt et al. | Oct 2013 | A1 |
| 20130297619 | Chandrasekaran et al. | Nov 2013 | A1 |
| 20130304770 | Boero et al. | Nov 2013 | A1 |
| 20130311375 | Priebatsch | Nov 2013 | A1 |
| 20130325826 | Agarwal et al. | Dec 2013 | A1 |
| 20130347078 | Agarwal et al. | Dec 2013 | A1 |
| 20140012796 | Petersen et al. | Jan 2014 | A1 |
| 20140019936 | Cohanoff | Jan 2014 | A1 |
| 20140032506 | Hoey et al. | Jan 2014 | A1 |
| 20140033010 | Richardt et al. | Jan 2014 | A1 |
| 20140040371 | Gurevich et al. | Feb 2014 | A1 |
| 20140047319 | Eberlein | Feb 2014 | A1 |
| 20140047357 | Alfaro et al. | Feb 2014 | A1 |
| 20140058763 | Zizzamia et al. | Feb 2014 | A1 |
| 20140059038 | McPherson et al. | Feb 2014 | A1 |
| 20140067611 | Adachi et al. | Mar 2014 | A1 |
| 20140068487 | Steiger et al. | Mar 2014 | A1 |
| 20140074855 | Zhao et al. | Mar 2014 | A1 |
| 20140075004 | Van Dusen et al. | Mar 2014 | A1 |
| 20140075301 | Mihara | Mar 2014 | A1 |
| 20140081685 | Thacker et al. | Mar 2014 | A1 |
| 20140089339 | Siddiqui et al. | Mar 2014 | A1 |
| 20140095273 | Tang et al. | Apr 2014 | A1 |
| 20140095363 | Caldwell | Apr 2014 | A1 |
| 20140095509 | Patton | Apr 2014 | A1 |
| 20140108068 | Williams | Apr 2014 | A1 |
| 20140108380 | Gotz et al. | Apr 2014 | A1 |
| 20140108985 | Scott et al. | Apr 2014 | A1 |
| 20140123279 | Bishop et al. | May 2014 | A1 |
| 20140129261 | Bothwell et al. | May 2014 | A1 |
| 20140129936 | Richards et al. | May 2014 | A1 |
| 20140136285 | Carvalho | May 2014 | A1 |
| 20140143009 | Brice et al. | May 2014 | A1 |
| 20140149436 | Bahrami et al. | May 2014 | A1 |
| 20140156484 | Chan et al. | Jun 2014 | A1 |
| 20140156527 | Grigg et al. | Jun 2014 | A1 |
| 20140157172 | Peery et al. | Jun 2014 | A1 |
| 20140164502 | Khodorenko et al. | Jun 2014 | A1 |
| 20140189536 | Lange et al. | Jul 2014 | A1 |
| 20140195515 | Baker et al. | Jul 2014 | A1 |
| 20140195887 | Ellis et al. | Jul 2014 | A1 |
| 20140208281 | Ming | Jul 2014 | A1 |
| 20140214579 | Shen et al. | Jul 2014 | A1 |
| 20140222521 | Chait | Aug 2014 | A1 |
| 20140222793 | Sadkin et al. | Aug 2014 | A1 |
| 20140244284 | Smith | Aug 2014 | A1 |
| 20140244388 | Manouchehri et al. | Aug 2014 | A1 |
| 20140258246 | Lo Faro et al. | Sep 2014 | A1 |
| 20140267294 | Ma | Sep 2014 | A1 |
| 20140267295 | Sharma | Sep 2014 | A1 |
| 20140279824 | Tamayo | Sep 2014 | A1 |
| 20140310266 | Greenfield | Oct 2014 | A1 |
| 20140316911 | Gross | Oct 2014 | A1 |
| 20140333651 | Cervelli et al. | Nov 2014 | A1 |
| 20140337772 | Cervelli et al. | Nov 2014 | A1 |
| 20140344230 | Krause et al. | Nov 2014 | A1 |
| 20140344656 | Groom | Nov 2014 | A1 |
| 20140351070 | Christner et al. | Nov 2014 | A1 |
| 20140358829 | Hurwitz | Dec 2014 | A1 |
| 20140366132 | Stiansen et al. | Dec 2014 | A1 |
| 20150019394 | Unser et al. | Jan 2015 | A1 |
| 20150026622 | Roaldson et al. | Jan 2015 | A1 |
| 20150046870 | Goldenberg et al. | Feb 2015 | A1 |
| 20150073929 | Psota et al. | Mar 2015 | A1 |
| 20150073954 | Braff | Mar 2015 | A1 |
| 20150089353 | Folkening | Mar 2015 | A1 |
| 20150089424 | Duffield et al. | Mar 2015 | A1 |
| 20150100897 | Sun et al. | Apr 2015 | A1 |
| 20150100907 | Erenrich et al. | Apr 2015 | A1 |
| 20150106379 | Elliot et al. | Apr 2015 | A1 |
| 20150134666 | Gattiker et al. | May 2015 | A1 |
| 20150169709 | Kara et al. | Jun 2015 | A1 |
| 20150169726 | Kara et al. | Jun 2015 | A1 |
| 20150170077 | Kara et al. | Jun 2015 | A1 |
| 20150178825 | Huerta | Jun 2015 | A1 |
| 20150178877 | Bogomolov et al. | Jun 2015 | A1 |
| 20150186483 | Tappan et al. | Jul 2015 | A1 |
| 20150186821 | Wang et al. | Jul 2015 | A1 |
| 20150187036 | Wang et al. | Jul 2015 | A1 |
| 20150188872 | White | Jul 2015 | A1 |
| 20150212663 | Papale et al. | Jul 2015 | A1 |
| 20150227295 | Meiklejohn et al. | Aug 2015 | A1 |
| 20150242401 | Liu | Aug 2015 | A1 |
| 20150254220 | Burr et al. | Sep 2015 | A1 |
| 20150309719 | Ma et al. | Oct 2015 | A1 |
| 20150317342 | Grossman et al. | Nov 2015 | A1 |
| 20150324868 | Kaftan et al. | Nov 2015 | A1 |
| 20160062555 | Ward et al. | Mar 2016 | A1 |
| 20160098176 | Cervelli et al. | Apr 2016 | A1 |
| 20160105459 | Esary et al. | Apr 2016 | A1 |
| 20160110369 | Cervelli et al. | Apr 2016 | A1 |
| 20160162519 | Stowe et al. | Jun 2016 | A1 |
| 20160306806 | Fackler et al. | Oct 2016 | A1 |
| 20170060651 | Falter et al. | Mar 2017 | A1 |
| 20170139558 | Cervelli et al. | May 2017 | A1 |
| 20190304149 | Cervelli et al. | Oct 2019 | A1 |
| Number | Date | Country |
|---|---|---|
| 2013251186 | Nov 2015 | AU |
| 102546446 | Jul 2012 | CN |
| 103167093 | Jun 2013 | CN |
| 102054015 | May 2014 | CN |
| 102014103482 | Sep 2014 | DE |
| 102014204827 | Sep 2014 | DE |
| 102014204830 | Sep 2014 | DE |
| 102014204834 | Sep 2014 | DE |
| 102014215621 | Feb 2015 | DE |
| 1672527 | Jun 2006 | EP |
| 2551799 | Jan 2013 | EP |
| 2560134 | Feb 2013 | EP |
| 2778977 | Sep 2014 | EP |
| 2835745 | Feb 2015 | EP |
| 2835770 | Feb 2015 | EP |
| 2838039 | Feb 2015 | EP |
| 2846241 | Mar 2015 | EP |
| 2851852 | Mar 2015 | EP |
| 2858014 | Apr 2015 | EP |
| 2858018 | Apr 2015 | EP |
| 2863326 | Apr 2015 | EP |
| 2863346 | Apr 2015 | EP |
| 2869211 | May 2015 | EP |
| 2881868 | Jun 2015 | EP |
| 2884439 | Jun 2015 | EP |
| 2884440 | Jun 2015 | EP |
| 2889814 | Jul 2015 | EP |
| 2891992 | Jul 2015 | EP |
| 2892197 | Jul 2015 | EP |
| 2911078 | Aug 2015 | EP |
| 2911100 | Aug 2015 | EP |
| 2940603 | Nov 2015 | EP |
| 2940609 | Nov 2015 | EP |
| 2993595 | Mar 2016 | EP |
| 3002691 | Apr 2016 | EP |
| 3009943 | Apr 2016 | EP |
| 3107014 | Dec 2016 | EP |
| 3144810 | Mar 2017 | EP |
| 2516155 | Jan 2015 | GB |
| 2518745 | Apr 2015 | GB |
| 2012778 | Nov 2014 | NL |
| 2013306 | Feb 2015 | NL |
| 624557 | Dec 2014 | NZ |
| WO 2000009529 | Feb 2000 | WO |
| WO 2001025906 | Apr 2001 | WO |
| WO 2001088750 | Nov 2001 | WO |
| WO 2002065353 | Aug 2002 | WO |
| WO 2005104736 | Nov 2005 | WO |
| WO 2007133206 | Nov 2007 | WO |
| WO 2008064207 | May 2008 | WO |
| WO 2009061501 | May 2009 | WO |
| WO 2010000014 | Jan 2010 | WO |
| WO 2010030913 | Mar 2010 | WO |
| WO 2010030914 | Mar 2010 | WO |
| WO 2012119008 | Sep 2012 | WO |
| WO 2013010157 | Jan 2013 | WO |
| WO 2013102892 | Jul 2013 | WO |
| Entry |
|---|
| Tim Berners-Lee et al., Uniform Resource Locators (URL); RFC 1738; Dec. 1994; Internet Engineering Task Force; pp. 1-25. |
| Faulkner, Steve “Notes on Accessibility of Text Replacement Using HTML5 Canvas:” Jun. 9, 2009; The Paciello Group; pp. 1-4. |
| Notice of Allowance for U.S. Appl. No. 14/874,303 dated May 26, 2017, in 28 pages. |
| Official Communication for U.S. Appl. No. 14/874,303 dated Feb. 13, 2017, in 57 pages. |
| Official Communication for U.S. Appl. No. 14/874,303 dated Mar. 30, 2017, in 11 pages. |
| “A First Look: Predicting Market Demand for Food Retail using a Huff Analysis,” TRF Policy Solutions, Jul. 2012, in 30 pages. |
| “A Quick Guide to UniProtKB Swiss-Prot & TrEMBL,” Sep. 2011, in 2 pages. |
| Acklen, Laura, “Absolute Beginner's Guide to Microsoft Word 2003,” Dec. 24, 2003, pp. 15-18, 34-41, 308-316, Que Publishing. |
| Amnet, “5 Great Tools for Visualizing Your Twitter Followers,” posted Aug. 4, 2010, http://www.amnetblog.com/component/content/article/115-5-grate-tools-for-visualizing-your-twitter-followers.html, in 3 pages. |
| Ananiev et al., “The New Modality API,” http://web.archive.org/web/20061211011958/http://java.sun.com/developer/technicalArticles/J2SE/Desktop/javase6/modality/ Jan. 21, 2006, in 8 pages. |
| Appacts, “Smart Thinking for Super Apps,” <http://www.appacts.com> Printed Jul. 18, 2013 in 4 pages. |
| Apsalar, “Data Powered Mobile Advertising,” “Free Mobile App Analytics” and various analytics related screen shots <http://apsalar.com> Printed Jul. 18, 2013 in 8 pages. |
| Bluttman et al., “Excel Formulas and Functions for Dummies,” 2005, Wiley Publishing, Inc., pp. 280, 284-286. |
| Boyce, Jim, “Microsoft Outlook 2010 Inside Out,” Aug. 1, 2010, retrieved from the internet https://capdtron.files.wordpress.com/2013/01/outlook-2010-inside_out.pdf, in 1111 pages. |
| Bugzilla@Mozilla, “Bug 18726—[feature] Long-click means of invoking contextual menus not supported,” http://bugzilla.mozilla.org/show_bug.cgi?id=18726 printed Jun. 13, 2013 in 11 pages. |
| Canese et al., “Chapter 2: PubMed: The Bibliographic Database,” The NCBI Handbook, Oct. 2002, pp. 1-10. |
| Capptain—Pilot Your Apps, <http://www.capptain.com> Printed Jul. 18, 2013 in 6 pages. |
| Celik, Tantek, “CSS Basic User Interface Module Level 3 (CSS3 UI),” Section 8 Resizing and Overflow, Jan. 17, 2012, retrieved from internet http://www.w3.org/TR/2012/WD-css3-ui-20120117/#resizing-amp-overflow retrieved on May 18, 2015, in 58 pages. |
| Chen et al., “Bringing Order to the Web: Automatically Categorizing Search Results,” CHI 2000, Proceedings of the SIGCHI conference on Human Factors in Computing Systems, Apr. 1-6, 2000, The Hague, The Netherlands, pp. 145-152. |
| Chung, Chin-Wan, “Dataplex: An Access to Heterogeneous Distributed Databases,” Communications of the ACM, Association for Computing Machinery, Inc., vol. 33, No. 1, Jan. 1, 1990, pp. 70-80. |
| Cohn et al., “Semi-supervised Clustering with User Feedback,” Constrained Clustering: Advances in Algorithms, Theory, and Applications 4.1, 2003, pp. 17-22. |
| Conner, Nancy, “Google Apps: The Missing Manual,” May 1, 2008, pp. 93-97, 106-113, and 120-121. |
| Countly Mobile Analytics, <http://count.ly/> Printed Jul. 18, 2013 in 9 pages. |
| Definition “Identify”, downloaded Jan. 22, 2015, 1 page. |
| Definition “Overlay”, downloaded Jan. 22, 2015, 1 page. |
| Delcher et al., “Identifying Bacterial Genes and Endosymbiont DNA with Glimmer,” BioInformatics, vol. 23, No. 6, 2007, pp. 673-679. |
| Distimo—App Analytics, <http://www.distimo.com/app-analytics> Printed Jul. 18, 2013 in 5 pages. |
| Dramowicz, Ela, “Retail Trade Area Analysis Using the Huff Model,” Directions Magazine, Jul. 2, 2005 in 10 pages, http://www.directionsmag.com/articles/retail-trade-area-analysis-using-the-huff-model/123411. |
| “The FASTA Program Package,” fasta-36.3.4, Mar. 25, 2011, in 29 pages. |
| Flurry Analytics, <http://www.flurry.com/> Printed Jul. 18, 2013 in 14 pages. |
| GIS-NET 3 Public—Department of Regional Planning. Planning & Zoning Information for UNINCORPORATED LA County. Retrieved Oct. 2, 2013 from http://gis.planning.lacounty.gov/GIS-NET3_Public/Viewer.html, in 2 pages. |
| Golem XIV, “A Word About Banks and the Laundering of Drug Money,” Aug. 18, 2012, http://www.golemxiv.co.uk/2012/08/a-word-about-banks-and-the-laundering-of-drug-money/, in 21 pages. |
| Google Analytics Official Website—Web Analytics & Reporting, <http://www.google.com/analytics.index.html> Printed Jul. 18, 2013 in 22 pages. |
| Gorr et al., “Crime Hot Spot Forecasting: Modeling and Comparative Evaluation”, Grant 98-IJ-CX-K005, May 6, 2002, 37 pages. |
| Goswami, Gautam, “Quite Writely Said!,” One Brick at a Time, Aug. 21, 2005, in 3 pages. |
| Griffith, Daniel A., “A Generalized Huff Model,” Geographical Analysis, Apr. 1982, vol. 14, No. 2, pp. 135-144. |
| Gu et al., “Record Linkage: Current Practice and Future Directions,” CSIRO Mathematical and Information Sciences, Jan. 15, 2004, in 32 pages. |
| Hansen et al. “Analyzing Social Media Networks with NodeXL: Insights from a Connected World”, Chapter 4, pp. 53-67 and Chapter 10, pp. 143-164, Elsevier Science, published Sep. 2010. |
| Hardesty, “Privacy Challenges: Analysis: It's Surprisingly Easy to Identify Individuals from Credit-Card Metadata,” MIT News on Campus and Around the World, MIT News Office, Jan. 29, 2015, 3 pages. |
| Hibbert et al., “Prediction of Shopping Behavior Using a Huff Model Within a GIS Framework,” Healthy Eating in Context, Mar. 18, 2011, in 16 pages. |
| Hogue et al., “Thresher: Automating the Unwrapping of Semantic Content from the World Wide Web,” 14th International Conference on World Wide Web, WWW 2005: Chiba, Japan, May 10-14, 2005, pp. 86-95. |
| Hua et al., “A Multi-attribute Data Structure with Parallel Bloom Filters for Network Services”, HiPC 2006, LNCS 4297, pp. 277-288, 2006. |
| Huang et al., “Systematic and Integrative Analysis of Large Gene Lists Using DAVID Bioinformatics Resources,” Nature Protocols, 4.1, 2008, 44-57. |
| Huff et al., “Calibrating the Huff Model Using ArcGIS Business Analyst,” ESRI, Sep. 2008, in 33 pages. |
| Huff, David L., “Parameter Estimation in the Huff Model,” ESRI, ArcUser, Oct.-Dec. 2003, pp. 34-36. |
| Johnson, Tom, “HunchLab: Heat Map and Kernel Density Calculation for Crime Analysis,” Azavea Journal, printed from www.azavea.com/blogs/newsletter/v4i4/kernel-density-capabilities-added-to-hunchlab/ on Sep. 9, 2014, 2 pages. |
| Kahan et al., “Annotea: an Open RDF Infrastructure for Shared Web Annotations”, Computer Networks, Elsevier Science Publishers B.V., vol. 39, No. 5, dated Aug. 5, 2002, pp. 589-608. |
| Keylines.com, “An Introduction to KeyLines and Network Visualization,” Mar. 2014, <http://keylines.com/wp-content/uploads/2014/03/KeyLines-White-Paper.pdf> downloaded May 12, 2014 in 8 pages. |
| Keylines.com, “KeyLines Datasheet,” Mar. 2014, <http://keylines.com/wp-content/uploads/2014/03/KeyLines-datasheet.pdf> downloaded May 12, 2014 in 2 pages. |
| Keylines.com, “Visualizing Threats: Improved Cyber Security Through Network Visualization,” Apr. 2014, <http://keylines.com/wp-content/uploads/2014/04/Visualizing-Threats1.pdf> downloaded May 12, 2014 in 10 pages. |
| Kitts, Paul, “Chapter 14: Genome Assembly and Annotation Process,” The NCBI Handbook, Oct. 2002, pp. 1-21. |
| Kontagent Mobile Analytics, <http://www.kontagent.com/> Printed Jul. 18, 2013 in 9 pages. |
| Li et al., “Interactive Multimodal Visual Search on Mobile Device,” IEEE Transactions on Multimedia, vol. 15, No. 3, Apr. 1, 2013, pp. 594-607. |
| Liu, Tianshun, “Combining GIS and the Huff Model to Analyze Suitable Locations for a New Asian Supermarket in the Minneapolis and St. Paul, Minnesota USA,” Papers in Resource Analysis, 2012, vol. 14, in 8 pages. |
| Localytics—Mobile App Marketing & Analytics, <http://www.localytics.com/> Printed Jul. 18, 2013 in 12 pages. |
| Madden, Tom, “Chapter 16: The BLAST Sequence Analysis Tool,” The NCBI Handbook, Oct. 2002, pp. 1-15. |
| Manno et al., “Introducing Collaboration in Single-user Applications through the Centralized Control Architecture,” 2010, in 10 pages. |
| Manske, “File Saving Dialogs,” http://www.mozilla.org/editor/ui_specs/FileSaveDialogs.html Jan. 20, 1999, in 7 pages. |
| Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.bing.com, in 1 page. |
| Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.google.com, in 1 page. |
| Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.yahoo.com, in 1 page. |
| Kelly, Shauna, Microsoft—Developer Network, “Getting Started with VBA in Word 2010,” Apr. 2010, http://msdn.microsoft.com/en-us/library/ff604039%28v=office.14%29.aspx as printed Apr. 4, 2014 in 17 pages. |
| Microsoft Office—Visio, “About connecting shapes,” <http://office.microsoft.com/en-us/visio-help/about-connecting-shapes-HP085050369.aspx> printed Aug. 4, 2011 in 6 pages. |
| Microsoft Office—Visio, “Add and glue connectors with the Connector tool,” <http://office.microsoft.com/en-us/visio-help/add-and-glue-connectors-with-the-connector-tool-HA010048532.aspx?CTT=1> printed Aug. 4, 2011 in 1 page. |
| Mixpanel—Mobile Analytics, <https://mixpanel.com/> Printed Jul. 18, 2013 in 13 pages. |
| Mizrachi, Ilene, “Chapter 1: GenBank: The Nuckeotide Sequence Database,” The NCBI Handbook, Oct. 2002, pp. 1-14. |
| Nierman, “Evaluating Structural Similarity in XML Documents”, 6 pages, 2002. |
| Olanoff, Drew, “Deep Dive with the New Google Maps for Desktop with Google Earth Integration, It's More than Just a Utility,” TechCrunch, May 15, 2013, pp. 1-7, retrieved from the internet: http://web.archive.org/web/20130515230641/http://techcrunch.com/2013/05/15/deep-dive-with-the-new-google-maps-for-desktop-with-google-earth-integration-its-more-than-just-a-utility/. |
| Open Web Analytics (OWA), <http://www.openwebanalytics.com/> Printed Jul. 19, 2013 in 5 pages. |
| Palmas et al. “An Edge-Bunding Layout for Interactive Parallel Coordinates” 2014 IEEE Pacific Visualization Symposium, pp. 57-64. |
| Piwik—Free Web Analytics Software. <http://piwik.org/> Printed Jul. 19, 2013 in 18 pages. |
| “Potential Money Laundering Warning Signs,” snapshot taken 2003, http://web.archive.org/web/20030816090055/http:/finsolinc.com/ANTI-MONEY%20LAUNDERING%20TRAINING%20GUIDES.pdf, in 6 pages. |
| “Refresh CSS Ellipsis When Resizing Container—Stack Overflow,” Jul. 31, 2013, retrieved from internet http://stackoverflow.com/questions/17964681/refresh-css-ellipsis-when-resizing-container, retrieved on May 18, 2015, in 1 page. |
| Rouse, Margaret, “OLAP Cube,” http://searchdatamanagement.techtarget.com/definition/OLAP-cube, Apr. 28, 2012, in 16 pages. |
| Sigrist, et al., “PROSITE, a Protein Domain Database for Functional Characterization and Annotation,” Nucleic Acids Research, 2010, vol. 38, pp. D161-D166. |
| Sirotkin et al., “Chapter 13: The Processing of Biological Sequence Data at NCBI,” The NCBI Handbook, Oct. 2002, pp. 1-11. |
| StatCounter—Free Invisible Web Tracker, Hit Counter and Web Stats, <http://statcounter.com/> Printed Jul. 19, 2013 in 17 pages. |
| TestFlight—Beta Testing on the Fly, <http://testflightapp.com/> Printed Jul. 18, 2013 in 3 pages. |
| Thompson, Mick, “Getting Started with GEO,” Getting Started with GEO, Jul. 26, 2011, in 3 pages. |
| Trak.io, “Analytics for Data Driven Startups,” http://trak.io/ printed Jul. 18, 2013 in 3 pages. |
| Umagandhi et al., “Search Query Recommendations Using Hybrid User Profile with Query Logs,” International Journal of Computer Applications, vol. 80, No. 10, Oct. 1, 2013, pp. 7-18. |
| UserMetrix, <http://usermetrix.com/android-analytics> printed Jul. 18, 2013 in 3 pages. |
| Valentini et al., “Ensembles of Learning Machines”, M. Marinaro and R. Tagliaferri (Eds.): WIRN VIETRI 2002, LNCS 2486, pp. 3-20. |
| Vose et al., “Help File for ModelRisk Version 5,” 2007, Vose Software, pp. 349-353. [Uploaded in 2 Parts]. |
| Wang et al., “Research on a Clustering Data De-Duplication Mechanism Based on Bloom Filter,” IEEE 2010, 5 pages. |
| Wikipedia, “Federated Database System,” Sep. 7, 2013, retrieved from the internet on Jan. 27, 2015 http://en.wikipedia.org/w/index.php?title-Federated_database_system&oldid=571954221, in 6 pages. |
| Yang et al., “HTML Page Analysis Based on Visual Cues”, A129, pp. 859-864, 2001. |
| Notice of Allowance for U.S. Appl. No. 14/102,394 dated Aug. 25, 2014, in 26 pages. |
| Notice of Allowance for U.S. Appl. No. 14/108,187 dated Aug. 29, 2014, in 17 pages. |
| Notice of Allowance for U.S. Appl. No. 14/135,289 dated Oct. 14, 2014, in 16 pages. |
| Notice of Allowance for U.S. Appl. No. 14/148,568 dated Aug. 26, 2015, in 75 pages. |
| Notice of Allowance for U.S. Appl. No. 14/192,767 dated Dec. 16, 2014, in 25 pages. |
| Notice of Allowance for U.S. Appl. No. 14/225,084 dated May 4, 2015, in 26 pages. |
| Notice of Allowance for U.S. Appl. No. 14/268,964 dated Dec. 3, 2014, in 29 pages. |
| Notice of Allowance for U.S. Appl. No. 14/294,098 dated Dec. 29, 2014, in 24 pages. |
| Notice of Allowance for U.S. Appl. No. 14/319,161 dated May 4, 2015, in 40 pages. |
| Notice of Allowance for U.S. Appl. No. 14/473,552 dated Jul. 24, 2015, in 8 pages. |
| Notice of Allowance for U.S. Appl. No. 14/473,860 dated Jan. 5, 2015, in 19 pages. |
| Notice of Allowance for U.S. Appl. No. 14/479,863 dated Mar. 31, 2015, in 23 pages. |
| Notice of Allowance for U.S. Appl. No. 14/504,103 dated May 18, 2015, in 18 pages. |
| Notice of Allowance for U.S. Appl. No. 14/616,080 dated Apr. 2, 2015, in 34 pages. |
| Official Communication for Australian Patent Application No. 2014201511 dated Feb. 27, 2015, in 2 pages. |
| Official Communication for Australian Patent Application No. 2014202442 dated Mar. 19, 2015, in 5 pages. |
| Official Communication for Australian Patent Application No. 2014210604 dated Jun. 5, 2015, in 3 pages. |
| Official Communication for Australian Patent Application No. 2014210614 dated Jun. 5, 2015, in 5 pages. |
| Official Communication for Australian Patent Application No. 2014213553 dated May 7, 2015, in 2 pages. |
| Official Communication for Australian Patent Application No. 2014250678 dated Jun. 17, 2015, in 2 pages. |
| Official Communication for Australian Patent Application No. 2014250678 dated Oct. 7, 2015, in 2 pages. |
| Official Communication for European Patent Application No. 14158861.6 dated Jun. 16, 2014, in 7 pages. |
| Official Communication for European Patent Application No. 14159464.8 dated Jul. 31, 2014 in 8 pages. |
| Official Communication for European Patent Application No. 14180142.3 dated Feb. 6, 2015, in 7 pages. |
| Official Communication for European Patent Application No. 14180281.9 dated Jan. 26, 2015, in 8 pages. |
| Official Communication for European Patent Application No. 14180321.3 dated Apr. 17, 2015, in 9 pages. |
| Official Communication for European Patent Application No. 14180432.8 dated Jun. 23, 2015, in 8 pages. |
| Official Communication for European Patent Application No. 14186225.0 dated Feb. 13, 2015, in 6 pages. |
| Official Communication for European Patent Application No. 14187739.9 dated Jul. 6, 2015, in 9 pages. |
| Official Communication for European Patent Application No. 14187996.5 dated Feb. 12, 2015, in 7 pages. |
| Official Communication for European Patent Application No. 14189344.6 dated Feb. 20, 2015, in 8 pages. |
| Official Communication for European Patent Application No. 14189347.9 dated Mar. 4, 2015, in 4 pages. |
| Official Communication for European Patent Application No. 14189802.3 dated May 11, 2015, in 8 pages. |
| Official Communication for European Patent Application No. 14191540.5 dated May 27, 2015, in 9 pages. |
| Official Communication for European Patent Application No. 14197879.1 dated Apr. 28, 2015, in 3 pages. |
| Official Communication for European Patent Application No. 14197895.7 dated Apr. 28, 2015., in 3 pages. |
| Official Communication for European Patent Application No. 14199182.8 dated Mar. 13, 2015, in 8 pages. |
| Official Communication for European Patent Application No. 14200298.9 dated May 13, 2015, in 7 pages. |
| Official Communication for European Patent Application No. 15155846.7 dated Jul. 8, 2015, in 8 pages. |
| Official Communication for European Patent Application No. 15181419.1 dated Sep. 29, 2015, in 7 pages. |
| Official Communication for European Patent Application No. 16174638.3 dated Oct. 5, 2016, in 12 pages. |
| Official Communication for European Patent Application No. 16185581.2 dated Feb. 17, 2017, in 8 pages. |
| Official Communication for Great Britain Patent Application No. 1404457.2 dated Aug. 14, 2014, in 8 pages. |
| Official Communication for Great Britain Patent Application No. 1404486.1 dated May 21, 2015, in 2 pages. |
| Official Communication for Great Britain Patent Application No. 1404486.1 dated Aug. 27, 2014, in 5 pages. |
| Official Communication for Great Britain Patent Application No. 1404489.5 dated May 21, 2015, in 3 pages. |
| Official Communication for Great Britain Patent Application No. 1404489.5 dated Aug. 27, 2014, in 5 pages. |
| Official Communication for Great Britain Patent Application No. 1404499.4 dated Jun. 11, 2015, in 5 pages. |
| Official Communication for Great Britain Patent Application No. 1404499.4 dated Aug. 20, 2014, in 6 pages. |
| Official Communication for Great Britain Patent Application No. 1404574.4 dated Dec. 18, 2014, in 2 pages. |
| Official Communication for Great Britain Patent Application No. 1408025.3 dated Nov. 6, 2014, in 10 pages. |
| Official Communication for Great Britain Patent Application No. 1411984.6 dated Dec. 22, 2014, in 6 pages. |
| Official Communication for Great Britain Patent Application No. 1413935.6 dated Jan. 27, 2015, in 7 pages. |
| Official Communication for Netherlands Patent Application No. 2013306 dated Apr. 24, 2015, in 8 pages. |
| Official Communication for New Zealand Patent Application No. 622473 dated Jun. 19, 2014, in 2 pages. |
| Official Communication for New Zealand Patent Application No. 622473 dated Mar. 27, 2014, in 3 pages. |
| Official Communication for New Zealand Patent Application No. 622513 dated Apr. 3, 2014, in 3 pages. |
| Official Communication for New Zealand Patent Application No. 622517 dated Apr. 3, 2014, in 3 pages. |
| Official Communication for New Zealand Patent Application No. 624557 dated May 14, 2014, in 2 pages. |
| Official Communication for New Zealand Patent Application No. 627962 dated Aug. 5, 2014, in 2 pages. |
| Official Communication for New Zealand Patent Application No. 628161 dated Aug. 25, 2014, in 2 pages. |
| Official Communication for New Zealand Patent Application No. 628263 dated Aug. 12, 2014, in 2 pages. |
| Official Communication for New Zealand Patent Application No. 628495 dated Aug. 19, 2014, in 2 pages. |
| Official Communication for New Zealand Patent Application No. 628585 dated Aug. 26, 2014, in 2 pages. |
| Official Communication for New Zealand Patent Application No. 628840 dated Aug. 28, 2014, in 2 pages. |
| Official Communication for U.S. Appl. No. 12/556,318 dated Jul. 2, 2015, in 19 pages. |
| Official Communication for U.S. Appl. No. 13/247,987 dated Apr. 2, 2015, in 27 pages. |
| Official Communication for U.S. Appl. No. 13/247,987 dated Sep. 22, 2015, in 34 pages. |
| Official Communication for U.S. Appl. No. 13/827,491 dated Dec. 1, 2014, in 5 pages. |
| Official Communication for U.S. Appl. No. 13/827,491 dated Jun. 22, 2015, in 28 pages. |
| Official Communication for U.S. Appl. No. 13/827,491 dated Oct. 9, 2015, in 16 pages. |
| Official Communication for U.S. Appl. No. 13/831,791 dated Mar. 4, 2015, in 20 pages. |
| Official Communication for U.S. Appl. No. 13/831,791 dated Aug. 6, 2015, in 18 pages. |
| Official Communication for U.S. Appl. No. 13/835,688 dated Jun. 17, 2015, in 10 pages. |
| Official Communication for U.S. Appl. No. 13/839,026 dated Aug. 4, 2015, 66 pages. |
| Official Communication for U.S. Appl. No. 14/134,558 dated Oct. 7, 2015, in 16 pages. |
| Official Communication for U.S. Appl. No. 14/148,568 dated Oct. 22, 2014, in 32 pages. |
| Official Communication for U.S. Appl. No. 14/148,568 dated Mar. 26, 2015, in 7 pages. |
| Official Communication for U.S. Appl. No. 14/196,814 dated May 5, 2015, in 24 pages. |
| Official Communication for U.S. Appl. No. 14/225,006 dated Sep. 10, 2014, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/225,006 dated Sep. 2, 2015, in 24 pages. |
| Official Communication for U.S. Appl. No. 14/225,006 dated Feb. 27, 2015, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/225,084 dated Sep. 11, 2015, in 13 pages. |
| Official Communication for U.S. Appl. No. 14/225,084 dated Sep. 2, 2014, in 17 pages. |
| Official Communication for U.S. Appl. No. 14/225,084 dated Feb. 20, 2015, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/225,160 dated Feb. 11, 2015, in 30 pages. |
| Official Communication for U.S. Appl. No. 14/225,160 dated Aug. 12, 2015, in 23 pages. |
| Official Communication for U.S. Appl. No. 14/225,160 dated May 20, 2015, in 7 pages. |
| Official Communication for U.S. Appl. No. 14/225,160 dated Oct. 22, 2014, in 6 pages. |
| Official Communication for U.S. Appl. No. 14/225,160 dated Jul. 29, 2014, in 20 pages. |
| Official Communication for U.S. Appl. No. 14/268,964 dated Sep. 3, 2014, in 13 pages. |
| Official Communication for U.S. Appl. No. 14/289,596 dated Jul. 18, 2014, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/289,596 dated Jan. 26, 2015, in 38 pages. |
| Official Communication for U.S. Appl. No. 14/289,596 dated Apr. 30, 2015, in 3 pages. |
| Official Communication for U.S. Appl. No. 14/289,599 dated Jul. 22, 2014, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/289,599 dated May 29, 2015, in 8 pages. |
| Official Communication for U.S. Appl. No. 14/289,599 dated Sep. 4, 2015, in 3 pages. |
| Official Communication for U.S. Appl. No. 14/294,098 dated Aug. 15, 2014, in 17 pages. |
| Official Communication for U.S. Appl. No. 14/294,098 dated Nov. 6, 2014, in 31 pages. |
| Official Communication for U.S. Appl. No. 14/306,138 dated Sep. 14, 2015, in 31 pages. |
| Official Communication for U.S. Appl. No. 14/306,138 dated Feb. 18, 2015, in 37 pages. |
| Official Communication for U.S. Appl. No. 14/306,138 dated Sep. 23, 2014, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/306,138 dated May 26, 2015, in 15 pages. |
| Official Communication for U.S. Appl. No. 14/306,147 dated Aug. 7, 2015, in 24 pages. |
| Official Communication for U.S. Appl. No. 14/306,147 dated Sep. 9, 2014, in 6 pages. |
| Official Communication for U.S. Appl. No. 14/306,154 dated Mar. 11, 2015, in 34 pages. |
| Official Communication for U.S. Appl. No. 14/306,154 dated May 15, 2015, in 3 pages. |
| Official Communication for U.S. Appl. No. 14/306,154 dated Jul. 6, 2015, in 34 pages. |
| Official Communication for U.S. Appl. No. 14/306,154 dated Sep. 9, 2014, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/319,161 dated Jan. 23, 2015, in 21 pages. |
| Official Communication for U.S. Appl. No. 14/319,765 dated Sep. 10, 2015, in 3 pages. |
| Official Communication for U.S. Appl. No. 14/319,765 dated Jun. 16, 2015, in 37 pages. |
| Official Communication for U.S. Appl. No. 14/319,765 dated Nov. 25, 2014, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/319,765 dated Feb. 4, 2015, in 3 pages. |
| Official Communication for U.S. Appl. No. 14/323,935 dated Jun. 22, 2015, in 18 pages. |
| Official Communication for U.S. Appl. No. 14/323,935 dated Nov. 28, 2014, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/323,935 dated Mar. 31, 2015, in 6 pages. |
| Official Communication for U.S. Appl. No. 14/326,738 dated Dec. 2, 2014, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/326,738 dated Jul. 31, 2015, in 19 pages. |
| Official Communication for U.S. Appl. No. 14/326,738 dated Mar. 31, 2015, in 6 pages. |
| Official Communication for U.S. Appl. No. 14/451,221 dated Oct. 21, 2014, in 16 pages. |
| Official Communication for U.S. Appl. No. 14/463,615 dated Sep. 10, 2015, in 3 pages. |
| Official Communication for U.S. Appl. No. 14/463,615 dated Nov. 13, 2014, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/463,615 dated May 21, 2015, in 31 pages. |
| Official Communication for U.S. Appl. No. 14/463,615 dated Jan. 28, 2015, in 29 pages. |
| Official Communication for U.S. Appl. No. 14/473,552 dated Feb. 24, 2015, in 21 pages. |
| Official Communication for U.S. Appl. No. 14/479,863 dated Dec. 26, 2014, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/483,527 dated Jun. 22, 2015, in 17 pages. |
| Official Communication for U.S. Appl. No. 14/483,527 dated Jan. 28, 2015, in 6 pages. |
| Official Communication for U.S. Appl. No. 14/486,991 dated Mar. 10, 2015, in 23 pages. |
| Official Communication for U.S. Appl. No. 14/490,612 dated Aug. 18, 2015, in 71 pages. |
| Official Communication for U.S. Appl. No. 14/504,103 dated Mar. 31, 2015, in 9 pages. |
| Official Communication for U.S. Appl. No. 14/504,103 dated Feb. 5, 2015, in 22 pages. |
| Official Communication for U.S. Appl. No. 14/552,336 dated Jul. 20, 2015, in 18 pages. |
| Official Communication for U.S. Appl. No. 14/562,524 dated Sep. 14, 2015, in 12 pages. |
| Official Communication for U.S. Appl. No. 14/571,098 dated Mar. 11, 2015, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/571,098 dated Aug. 24, 2015, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/571,098 dated Aug. 5, 2015, in 4 pages. |
| Official Communication for U.S. Appl. No. 14/579,752 dated Aug. 19, 2015, in 35 pages. |
| Official Communication for U.S. Appl. No. 14/579,752 dated May 26, 2015, in 24 pages. |
| Official Communication for U.S. Appl. No. 14/631,633 dated Sep. 10, 2015, in 10 pages. |
| Official Communication for U.S. Appl. No. 14/639,606 dated May 18, 2015, in 9 pages. |
| Official Communication for U.S. Appl. No. 14/639,606 dated Jul. 24, 2015, in 9 pages. |
| Official Communication for U.S. Appl. No. 14/676,621 dated Jul. 30, 2015, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/726,353 dated Sep. 10, 2015, in 31 pages. |
| Official Communication for U.S. Appl. No. 14/746,671 dated Sep. 28, 2015, in 5 pages. |
| Official Communication for U.S. Appl. No. 14/813,749 dated Sep. 28, 2015, in 22 pages. |
| Mozilla Support: “Applications panel—Set how Firefox handles different types of files,” Jun. 4, 2015, Retrieved from the Internet: URL: https://web.archive.org/web/20150604001024/support.mozilla.org/en-US/kb/applications-panel-set-how-firefox-handles-files [retrieved on Jul. 13, 2018] (in 2 pgs). |
| Official Communication for European Patent App. No. 16185581.2 dated Feb. 17, 2017 (in 8 pgs). |
| Official Communication for European Patent App. No. 16174638.3 dated Jul. 20, 2018 (in 10 pgs). |
| Official Communication for U.S. Appl. No. 15/235,558 dated Apr. 26, 2018 (in 52 pgs). |
| Official Communication for U.S. Appl. No. 15/235,558 dated May 28, 2019, 20 pages. |
| U.S. Appl. No. 16/443,626, Time-Series Analysis System, filed Jun. 17, 2019. |
| “GrabUp—What a Timesaver!” <http://atlchris.com/191/grabup/>, Aug. 11, 2008, 10 pages. |
| “Money Laundering Risks and E-Gaming: A European Overview and Assessment,” 2009, http://www.cf.ac.uk/socsi/resources/Levi_Final_Money_Laundering_Risks_egaming.pdf, 30 pages. |
| Abbey, Kristen, “Review of Google Docs,” May 1, 2007, 2 pages. |
| About 80 Minutes, “Palantir in a Number of Parts—Part 6—Graph,” Mar. 21, 2013, pp. 1-6. |
| Adams et al., “Worklets: A Service-Oriented Implementation of Dynamic Flexibility in Workflows,” R. Meersman, Z. Tani et al. (Eds.): OTM 2006, LNCS, 4275, pp. 291-308, 2006. |
| Alur et al., “Chapter 2: IBM InfoSphere DataStage Stages,” IBM InfoSphere DataStage Data Flow and Job Design, Jul. 1, 2008, pp. 35-137. |
| Butkovic et al., “Using Whois Based Geolocation and Google Maps API for Support Cybercrime Investigations,” Recent Advances in Telecommunications and Circuits: Proceedings of the 11th International Conference on Applied Electromagnetics, Wireless and Optical Communications (ELECTROSCIENCE '13), Proceedings of the 2nd International Conference on Circuits, Systems, Communications, Computers and Applications (CSCCA '13), Proceedings of the 1st International Conference on Solid State Circuits (SSC '13), Proceedings of the 1st International Conference on Antennas & Propagation (ANPRO '13) :Dubrovnik, Croatia, Jun. 25-27, 2013, pp. 194-200. |
| Chaudhuri et al., “An Overview of Business Intelligence Technology,” Communications of the ACM, Aug. 2011, vol. 54, No. 8, 11 pages. |
| Ferreira et al., “A Scheme for Analyzing Electronic Payment Systems,” Brazil 1997, 10 pages. |
| Galliford, Miles, “SnagIt Versus Free Screen Capture Software: Critical Tools for Website Owners,” <http://www.subhub.com/articles/free-screen-capture-software>, Mar. 27, 2008, 10 pages. |
| Gesher, Ari, “Palantir Screenshots in the Wild: Swing Sightings,” The Palantir Blog, Sep. 11, 2007, 6 pages. |
| Glaab et al., “EnrichNet: Network-Based Gene Set Enrichment Analysis,” Bioinformatics 28.18 (2012): pp. i451-i457. |
| Hur et al., “SciMiner: web-based literature mining tool for target identification and functional enrichment analysis,” Bioinformatics 25.6 (2009): pp. 838-840. |
| IBM, “Determining Business Object Structure,” IBM, 2004, 9 pages. |
| JetScreenshot.com, “Share Screenshots via Internet in Seconds,” <http://web.archive.org/web/20130807164204/http://www.jetscreenshot.com/>, Aug. 7, 2013, pp. 1. |
| Kwout, <http://web.archive.org/web/20080905132448/http://www.kwout.com/> Sep. 5, 2008, 2 pages. |
| Map Builder, “Rapid Mashup Development Tool for Google and Yahoo Maps!” <http://web.archive.org/web/20090626224734/http://www.mapbuilder.net/> printed Jul. 20, 2012, 2 pages. |
| Microsoft Windows, “Microsoft Windows Version 2002 Print Out 2,” 2002, pp. 1-6. |
| Microsoft, “Registering an Application to a URI Scheme,” <http://msdn.microsoft.com/en-us/library/aa767914.aspx>, printed Apr. 4, 2009 in 4 pages. |
| Microsoft, “Using the Clipboard,” <http://msdn.microsoft.com/en-us/library/ms649016.aspx>, printed Jun. 8, 2009 in 20 pages. |
| Nitro, “Trick: How to Capture a Screenshot As PDF, Annotate, Then Share It,” <http://blog.nitropdf.com/2008/03/04/trick-how-to-capture-a-screenshot-as-pdf-annotate-it-then-share/>, Mar. 4, 2008, 2 pages. |
| Nolan et al., “MCARTA: A Malicious Code Automated Run-Time Analysis Framework,” Homeland Security, 2012 IEEE Conference on Technologies for, Nov. 13, 2012, pp. 13-17. |
| Online Tech Tips, “Clip2Net—Share files, folders and screenshots easily,” <http://www.online-tech-tips.com/free-software-downloads/share-files-folders-screenshots/>, Apr. 2, 2008, 5 pages. |
| O'Reilly.com, http://oreilly.com/digitalmedia/2006/01/01/mac-os-x-screenshot-secrets.html published Jan. 1, 2006 in 10 pages. |
| Palantir Technologies, “Palantir Labs—Timeline,” Oct. 1, 2010, retrieved from the internet https://www.youtube.com/watch?v=JCgDW5bru9M, 1 page. |
| Perdisci et al., “Behavioral Clustering of HTTP-Based Malware and Signature Generation Using Malicious Network Traces,” USENIX, Mar. 18, 2010, pp. 1-14. |
| Quest, “Toad for ORACLE 11.6—Guide to Using Toad,” Sep. 24, 2012, pp. 1-162. |
| Schroder, Stan, “15 Ways to Create Website Screenshots,” <http://mashable.com/2007/08/24/web-screenshots/>, Aug. 24, 2007, 2 pages. |
| Shi et al., “A Scalable Implementation of Malware Detection Based on Network Connection Behaviors,” 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, IEEE, Oct. 10, 2013, pp. 59-66. |
| SnagIt, “SnagIt 8.1.0 Print Out 2,” Software release date Jun. 15, 2006, 3 pages. |
| SnagIt, “SnagIt 8.1.0 Print Out,” Software release date Jun. 15, 2006, 6 pages. |
| SnagIt, “SnagIt Online Help Guide,” <http://download.techsmith.com/snagit/docs/onlinehelp/enu/snagit_help.pdf>, TechSmith Corp., Version 8.1, printed Feb. 7, 2007, 284 pages. |
| Symantec Corporation, “E-Security Begins with Sound Security Policies,” Announcement Symantec, Jun. 14, 2001, 12 pages. |
| Warren, Christina, “TUAW Faceoff: Screenshot apps on the firing line,” <http://www.tuaw.com/2008/05/05/tuaw-faceoff-screenshot-apps-on-the-firing-line/>, May 5, 2008, 11 pages. |
| Wright et al., “Palantir Technologies VAST 2010 Challenge Text Records _ Investigations into Arms Dealing,” Oct. 29, 2010, pp. 1-10. |
| Zheng et al., “GOEAST: a web-based software toolkit for Gene Ontology enrichment analysis,” Nucleic acids research 36.suppl 2 (2008): pp. W358-W363. |
| Official Communication for European Patent Application No. 15188106.7 dated Feb. 3, 2016, 8 pages. |
| Official Communication for European Patent Application No. 15188106.7 dated Feb. 21, 2017, 10 pages. |
| Official Communication for European Patent Application No. 15188106.7 dated Aug. 29, 2018, 11 pages. |
| Official Communication for European Patent Application No. 16174638.3 dated Jun. 3, 2019, 10 pages. |
| Number | Date | Country | |
|---|---|---|---|
| 20170351686 A1 | Dec 2017 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62059601 | Oct 2014 | US | |
| 62206159 | Aug 2015 | US | |
| 62175804 | Jun 2015 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 14874303 | Oct 2015 | US |
| Child | 15684591 | US | |
| Parent | 14871465 | Sep 2015 | US |
| Child | 14874303 | US |
