Programming notebooks have become a valuable asset in a software developer's toolkit. A programming notebook, such as the popular iPython Notebook, allows a developer to more rapidly develop and test code, typically by enabling a dynamic command-line shell interface which the developer can use to input, execute, and view associated outputs for lines of program code in a read-execute-print loop (“REPL”). Programming notebook outputs can be provided in various formats, such as a JavaScript Object Notation (“JSON,” which is a lightweight data-interchange format) document containing an ordered list of input/output cells which can contain code, text, mathematics, plots and rich media. Programming notebook outputs can also be converted to a number of open standard output formats (HTML, HTML presentation slides, LaTeX, PDF, ReStructuredText, Markdown, Python, etc.).
Typically, a programming notebook consists of a sequence of cells. A cell is a multi-line text input field, and its contents can be executed by the developer using the programming notebook interface. Code cells allow the developer to edit and write code and can provide features such as syntax highlighting and tab completion. When a cell is executed using a backend system associated with the programming notebook, results are displayed in the notebook as the cell's output. Output can be displayed in a variety of formats such as text, data plots, and tables.
In a normal programming notebook workflow, the developer can edit cells in-place multiple times until a desired output or result is obtained, rather than having to re-run separate scripts. The programming notebook interface enables the developer to work on complex computational programs in discrete and manageable pieces. The developer can organize related programming ideas into cells and work progressively forward as various pieces are working correctly. Once a developer has completed a workflow, the programming notebook can be saved or downloaded into a format which, among other things, may remove output results and convert some cell contents (e.g., some contents may be converted to non-executable comments in an output programming language).
One embodiment comprises a computing system for providing a programming notebook, the computing system comprising: one or more hardware computer processors configured to execute software code; a non-transitory storage medium storing software modules configured for execution by the one or more hardware computer processors. The software modules may comprise at least: a code compiler and execution module configured to: receive, on behalf of a user interacting with a programming notebook user interface in a programming session, a request to execute a unit of program code associated with a program cell in the programming notebook user interface, wherein the unit of program code comprises one or more lines of program code; execute, on behalf of the user, the unit of program code; provide an output result associated with the execution of the unit of program code, wherein the output result is configured for display in association with the program cell in the programming notebook user interface; and a program code card management module configured to: maintain a session history of requests to execute units of program code and associated output results; receive a request to generate a program code card for the programming session; provide a program code card editor user interface including at least an aggregate listing of the lines associated with respective units of program code associated with the session history; receive, via the program code card editor user interface, user input comprising a selection of program code for the program code card; and generate the program code card based at least in part on the user input.
In another embodiment, the user input further comprises at least some user interface code. In another embodiment, the user input further comprises at least a description or a tag for the program code card. In another embodiment, providing the output result associated with the execution of the unit of program code comprises: analyzing the output result to determine a data type associated with the data type; selecting a data visualization user interface component to include with the output result based at least in part on the data type; generating, based on the output result, a data visualization user interface component; and provide the data visualization user interface component with the output result. In another embodiment, the data visualization user interface component is one of a time series, a scatter plot, a histogram, a chart, a bar graph, or a table. In another embodiment, based on a determination that the data type is a date the data visualization user interface component is a time series. In another embodiment, based on a determination that the data type is a geographic unit of measurement, the data visualization user interface component is a map.
Another embodiment comprises a computer-implemented method comprising: under control of a hardware computing device configured with specific computer executable instructions: maintaining a session history of requests to execute units of program code received in association with a programming notebook user interface in a programming session, wherein respective units of program code are associated with respective program cells in the programming notebook user interface; receiving a request to generate a program code card for the programming session; providing a program code card editor user interface including at least an aggregate listing of the units of program code associated with the session history, wherein the aggregate listing includes, for each unit of program code, an indicator label of the associated program cell in the programming notebook user interface; receiving, via the program code card editor user interface, user input comprising a selection of program code for the program code card; and generating the program code card based at least in part on the user input.
Overview
One drawback to existing programming notebook user interfaces and workflows is that the final output tends to be static, susceptible to inadvertent edits and difficult to reverse format corruption if manually edited, and generally does not lend itself well to facilitating re-use, re-execution, or sharing of code developed using the programming notebook interface. For example, using traditional programming notebook user interfaces a developer, in order to re-use code or logic a developer is often required to resort to copying-and-pasting blocks of program logic or code from one notebook to another. As a result, if a bug in the program logic or code is identified, it may only be fixed once in the location it is found; the other “copy” would not be automatically updated, and in many cases the developer that identified and fixed the bug may be unaware that a copy in another notebook may also need to be fixed or updated accordingly. It may never be clear which version of the program logic or code is the “canonical” or master version, and the developer may not even know that other copies of the program logic or code exist in one or more other notebooks.
As another example of how traditional programming notebook user interfaces are deficient relates to reordering or deleting of cells of program logic in the notebook. Using these functions, a developer may perform some logic development and analysis, and then reorder or delete cells in the analysis workflow such that the notebook may become inconsistent, and in some cases may no longer be “run” from top to bottom because the logic has become inconsistent, invalid, or even corrupt. Other programming environments which utilize or support a REPL-type interface and copying/pasting of code logic may suffer similar failings.
The programming notebook system, methods, and user interfaces described in this disclosure provide the developer with an enhanced tool by which the workflow and session history associated with code cells in a programming notebook are tracked and maintained. As the developer progresses through a development workflow, when desired outcome results are achieved, the developer can select an option to save a program code card representing some or all of the code cell inputs. A card editor user interface may provide the developer with a code editor input panel which presents an aggregated listing of all program code the developer has provided across multiple code cells during the current session. The developer can edit, refine, comment, and/or otherwise clean-up the aggregated code listing, such as by removing intermediate lines of code which were rendered unnecessary by other lines of code, editing code to refine definitions, adding comments to document the code and what it does, and so on. The card editor may also allow the developer to add associated user interface code to display a UI component associated with the program code card. The card editor may also allow the developer to add a description and tags for the card so that the card can be searched for and reused by other developers using the programming notebook system.
Once a program code card has been generated and stored by the programming notebook system it is added to a searchable card library. Developers can then search for and add cards to their own programming notebook workflows and leverage the work done by other developers. Cards may be used within a cell in the workflow, for example directly as a call to a function defined by the card or by interaction with an associated UI component defined by the card. For example, a UI component may expose one or more text input boxes corresponding to input parameters for a function defined by the card.
One potential benefit of enabling re-use of cards in the workflow is that cards can be built on top of each other and saved into new cards, which include or reference program code defined in previous cards. Then, an end user can request to import a program code card into a programming session or workflow. The programming notebook system then imports the program code card into the programming session or workflow, such that the end user can execute, by providing user input to the programming notebook user interface, a unit of program code associated with the program code card.
Another feature provided by the programming notebook system described herein is enhanced output results which are provided based on introspection of the output results. For example, additional output results may be suggested based on data attributes associated with the output results and/or input parameters. Additional output results might include one or more interactive data visualization thumbnail images and UI controls presenting the output results, or a portion thereof, in various different formats (e.g., a time series, a histogram, a table, a heat map, etc.). Whether and which data visualization thumbnail images and UI controls are displayed may be based on the attributes and/or values of the data output. For example, if data attributes or values indicate the data includes map coordinates, a geographic map data visualization thumbnail image and UI control may be displayed. Or, in another example, if data attributes or values indicate the data includes dates and times, a time series data visualization thumbnail image and UI control may be displayed. Each interactive data visualization thumbnail image and UI control may be generated based on the actual output results be fully interactive such that, for example, if the developer selects the thumbnail a corresponding full or larger size data visualization may be displayed in the programming notebook user interface. Among other benefits this proactive prediction of data visualizations which may be relevant or useful to the developer can help streamline and improve the developer's workflow. For example, being able to quickly review output results can aid the developer in determining whether the program code used to generate the output results may need to be modified and in what ways in order to move closer to or achieve a desired result.
In one example, an introspection algorithm may be implemented as follows. A visualization may define a set of rules defining what the visualization requires of the underlying data. For example, for a heat map, the rules may specify that (1) the data must be in a tabular format, and (2) the table of data must contain two numeric columns, which are in correct, specified ranges for latitude and longitude (e.g., from negative 90 to positive 90 degrees, from negative 180 to positive 180 degrees). Or, as another example, for a line chart, the rules may specify that, in order to correctly plot a line, (1) if the data is a list of scalars, then the data must contain a set of numbers, or (2) if the data is a list of pairs, then the value of the first coordinate of each pair must be increasing over the list of pairs. Or, as yet another example, for a timeseries plot (e.g., one or more line charts overlaid with a time axis), the rules may specify that (1) the data must be in a tabular format and (2) one column in the table must be in a date-time format or parseable to a date-time format (e.g., an ISO 8601 date format). The rules for each data visualization may then be responsible for providing the data in a normalized form (e.g., for a timeseries, explicit ticks for values on the time axis may be specified). In addition, the rules may be “fuzzy” such that data can be matched to the rules (or the data may satisfy the criteria specified by the rules) in differing degrees. The visualizations may then be ranked based on the degree of match between the data and the rules. (For example, for a heat map, if the names of the columns identified in the table as providing latitude and longitude contain the substrings “lat” or “Ion” then this may increase the confidence that a heat map is a valid visualization). The foregoing provides but one example of an introspection algorithm; other approaches may also be used, including various machine learning algorithms which may, for example, be implemented to train or learn over time which particular thumbnail a user actually picks.
Embodiments of the disclosure will now be described with reference to the accompanying figures, wherein like numerals refer to like elements throughout. The terminology used in the description presented herein is not intended to be interpreted in any limited or restrictive manner, simply because it is being utilized in conjunction with a detailed description of certain specific embodiments of the disclosure. Furthermore, embodiments of the disclosure may include several novel features, no single one of which is solely responsible for its desirable attributes or which is essential to practicing the embodiments of the disclosure herein described.
For purposes of this disclosure, certain aspects, advantages, and novel features of various embodiments are described herein. It is to be understood that not necessarily all such advantages may be achieved in accordance with any particular embodiment of the invention. Thus, for example, those skilled in the art will recognize that one embodiment may be carried out in a manner that achieves one advantage or group of advantages as taught herein without necessarily achieving other advantages as may be taught or suggested herein.
Example User Interfaces
The programming workflow user interface 1000 of
Program cell 104 represents a program code card which has been added to the current session and invoked by the developer to call a particular function defined by the logic in the program code card. In this example the card in program cell 104 has an associated UI control 105, which may optionally be specified by a user when the card is created or edited. For example, the card included at program cell 104 displays a function label; three text input boxes for the input parameters used by the function; and a function call preview displaying the function to be called with the provided input parameters (e.g., “cardFunction(input1,input2)”) when the program cell is executed. The UI control 105 for the card at program cell 104 also includes a “Run” button which the developer can select in order to run the card's program code. In some embodiments more advanced UI controls and inputs may be provided for the card, as specified by the developer using the card editor user interface (such as the one shown in
The programming workflow user interface 1000 may include a main menu 107 providing additional features for the programming notebook. For example, the programming notebook system 100 may support or enable the developer to launch multiple sessions and switch between them. Thus, a “new session” option may cause the programming notebook system 100 to display a clean copy of the programming workflow user interface 1000 (e.g., including one empty program cell for the developer to begin a new session workflow). Additionally, a “change session” option may allow the developer to switch between multiple active sessions. User selection of this option may cause the programming notebook system 100 to display a copy of the programming workflow user interface 1000 for the changed-to session (e.g., including any program cell(s) and result outputs associated with the changed-to session for the developer to continue the changed-to session workflow).
The main menu 107 in
As the developer progresses through a workflow and the number of program cells used in the current session increases, the transcript may be updated to reflect the current session. If a developer returns to or re-uses a program cell, the program cell identifiers may indicate this in some manner, such as with a revised identification, timestamp, or other way. For instance, a revised and/or re-executed program cell may be added as a new cell in the session history and associated transcript.
The main menu in
The programming workflow user interface 1000 may also include a session UI panel 106 which lists, for the current session, variables and their current values and/or functions which have been defined. For example, the session panel 106 listing includes, among other things, variables for “sc” and “sq” and a sql function “<function1>.” The programming workflow user interface 1000 may also include a REPL UI panel which lists a summary of result outputs for the current session. The session panel and the REPL UI panels provide the developer with useful at-a-glance information to aid the developer's workflow and code refinement process.
The card editor user interface 2000 may also include a second user-editable text area 204 by which the developer may optionally provide user interface code to be associated with the program code logic of the card. For example, as shown in
The card editor user interface 2000 also provides options for the developer to provide a description and one or more tags to be associated with the card when it is saved. The description and/or tags may be searchable by other users of the programming notebook system 100 to facilitate re-use of cards across many developer sessions. When the developer is satisfied with the card's settings, a save option may be selected in order to save the card, for example in the program code card repository 170. After the card is saved, the card editor user interface 3000 may be closed (automatically or manually) and the developer can return to the main programming workflow UI. If the developer desires, one or more program cells (for example, those that were used as inputs to the card) may be removed from the workflow by using the respective delete options. However, in some embodiments, the program cell may not also be removed from the transcript. That is, in some instances, the transcript is implemented as immutable log of everything that happens in the workflow, including deletion events. Thus, deletion of a program cell may be more like hiding, in that the transcript still maintains a copy of the deleted cell. Then, the transcript view could be augmented to show or indicate when an entry in the transcript no longer exists in the main programming workflow UI (e.g., this may be visually indicated to the user via some formatting change, an icon, and so on).
The data visualizations 302 shown in user interface 3000 may be generated, for example, in accordance with the process 500 illustrated and described with reference to
Examples of Processes Performed by Programming Notebook Systems
Generating Logical Units of Program Code
The process 400 begins at block 405 where the programming notebook system receives a request to execute user input program code for a cell, such as input provided by a developer interacting with the programming workflow user interface 1000. This aspect of the process may be referred to as the “read” part of a read-eval-print loop (REPL). The request to execute program code may include one or more lines of program code of varying complexity and may include operations such as, but not limited to, initiating a database connection, submitting queries to the database, defining variables and functions, inserting code comments and markup, and so on. The programming notebook system 100 may be configured to support a wide variety of programming languages, including but not limited to Scala, Python, HTML, JavaScript, Ruby, and so on.
At block 410, the programming notebook system 100 executes the program code associated with the request. This may be, for example, the “eval” part of REPL. The program code received with the request is evaluated and executed to produce output results. The output results may include a wide range of programmatic outputs including no output (e.g., a simple return), a Boolean value, a variable, a value, search query results, and the like. As discussed further herein, the output results may further include, or be analyzed to include, one or more data visualizations which may be of possible interest to the developer based on any inputs in the program code and/or based on the output results.
At block 415, the programming notebook system 100 provides the output results associated with execution of the program code, e.g., as produced at block 410. This aspect of the process corresponds to the “print” part of the REPL. The output results may be presented or configured for presentation in the programming workflow user interface 1000, for example below the program cell used by the developer to input the program code for the request.
At block 420 the programming notebook system 100 maintains the session history of program code cell execution requests and the associated output results. The session history may be maintained and used by the programming notebook system 100 in memory 130 (e.g., for the duration of the current session or as the developer switches between multiple sessions) or stored for later access and retrieval (e.g., in one of the other data sources 174 of
At block 425 the programming notebook system 100 determines whether a request to generate a program code card has been received. If such a request has not been received, then the process 400 may return to block 405 and continue processing program code execution requests in the REPL from blocks 405 to 415 as many times as the developer would like.
In response to a request to generate a program code card has been received, the process may proceed to block 430. At block 430, the maintained session history is provided to allow the user to select and/or edit program code for the program code card. For example, the maintained session history may include all program code, organized by respective cells, which the user provides as input for the current session. The program code may be displayed, for example, as a listing of program code in a user-editable text area within a card editor user interface, such as the card editor user interface 2000 of
When the user has completed editing of the program code, associated UI code, description, and/or tags, she can select the “Save” (or similar) option. In response, at block 435, the programming notebook system 100 generates the program code card comprising one or more user selected and/or edited lines of program code. Once the program card code has been generated the programming notebook system 100 can store the program code card, for example at the program code card repository 170.
Determining Data Visualizations to Provide with Program Code Output Results
The process 500 begins at block 505 where the programming notebook system 100 analyzes parameters associated with the program code provided by the user at a cell in the main programming workflow UI to determine one or more potential data type attributes associated with the input parameters. For example, the program code to be executed might include one or more input parameters of a particular data type which may suggest what type of data the output results will be.
At block 510, the programming notebook system 100 analyzes the output results associated with execution of the program code for the cell to determine one or more potential data type attributes associated with the output results. For example, if the output results comprise a table of data (e.g., rows and columns) then the columns and/or data values may be analyzed to identify the type of data associated with each column. For example, if the output results table of data includes column headers, these headers may contain contextual information to indicate the type of data (e.g., a column labeled with the word “DATE” is likely to be a date data attribute, a column labeled with the word “CITY” is likely to be a geographical data attribute, and so on). Further, the output results data table values may be parsed and analyzed to determine probable data types, in particular if no column headings or other metadata is available. For example, values in the format “###-##-##” may be analyzed and interpreted by the programming notebook system 100 to indicate that the value is likely to be a date data attribute. In other examples standard formats may be analyzed and compared to results data to identify probable matches or data types including latitude and longitude coordinates, geographic abbreviations, special symbols which may indicate the data type (e.g., currency symbols).
At block 515, the programming notebook system 100 generates one or more interactive data visualization thumbnails based on the potential data types identified at blocks 505 and 510. The data visualization thumbnails may include one or more of a time series, a histogram, a table, a heat map, a geographic map, a scatter plot, a line graph, a pie chart, or any other type of data visualization. Whether and which data visualization thumbnails are selected may depend on the detected data types (and/or probable data types) and/or combinations of data types. For example, if geographic data types are identified, a geographic map may be generated as one of the data visualizations. Or, if date and time data types are identified, a time series or a calendar may be generated as data visualizations. The data visualizations may be generated based on the actual output results to provide an accurate view of the data.
At block 520, the programming notebook system 100 provides the interactive data visualization thumbnails with the output results. The interactive data visualizations may then be displayed with the output results, for example in the programming workflow user interface 3000 above or below the program cell used by the developer to input the program code for the request. The data visualizations may be configured to respond to user interaction by, for example, causing display of a larger non-thumbnail version of the data visualization in the programming workflow user interface 3000. The larger non-thumbnail version may be fully interactive and support user functionality such as zooming in our out, manipulating parameters, selecting portions of the visualization to filter results, and so on.
Example System Implementation and Architecture
Programming Notebook System
In the embodiment of
The code compiler and execution module 122 provides capabilities related to execution of program code associated with requests received by the programming notebook system 100, for example as described by the process 400 of
The programming notebook system 100 includes, for example, a server, workstation, or other computing device. In one embodiment, the exemplary programming notebook system 100 includes one or more central processing units (“CPU”) 150, which may each include a conventional or proprietary microprocessor. The programming notebook system 100 further includes one or more memories 130, such as random access memory (“RAM”) for temporary storage of information, one or more read only memories (“ROM”) for permanent storage of information, and one or more mass storage device 120, such as a hard drive, diskette, solid state drive, or optical media storage device. Typically, the modules of the programming notebook system 100 are connected to the computer using a standard based bus system. In different embodiments, the standard based bus system could be implemented in Peripheral Component Interconnect (“PCI”), Microchannel, Small Computer System Interface (“SCSI”), Industrial Standard Architecture (“ISA”), and Extended ISA (“EISA”) architectures, for example. In addition, the functionality provided for in the components and modules of programming notebook system 100 may be combined into fewer components and modules or further separated into additional components and modules.
The programming notebook system 100 is generally controlled and coordinated by operating system software, such as Windows XP, Windows Vista, Windows 7, Windows 8, Windows Server, UNIX, Linux, SunOS, Solaris, iOS, Blackberry OS, or other compatible operating systems. In Macintosh systems, the operating system may be any available operating system, such as MAC OS X. In other embodiments, the programming notebook system 100 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, such as a graphical user interface (“GUI”), among other things.
The exemplary programming notebook system 100 may include one or more commonly available input/output (I/O) devices and interfaces 110, such as a keyboard, mouse, touchpad, and printer. In one embodiment, the I/O devices and interfaces 110 include one or more display devices, such as a monitor, that allows the visual presentation of data to a user. More particularly, a display device provides for the presentation of GUIs, application software data, and multimedia analytics, for example. The programming notebook system 100 may also include one or more multimedia devices 140, such as speakers, video cards, graphics accelerators, and microphones, for example.
Network
In the embodiment of
According to
Other Embodiments
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 code modules may be stored on any type of non-transitory computer-readable medium or computer storage device, such as hard drives, solid state memory, optical disc, and/or the like. The systems and modules may also be transmitted as generated data signals (for example, as part of a carrier wave or other analog or digital propagated signal) on a variety of computer-readable transmission mediums, including wireless-based and wired/cable-based mediums, and may take a variety of forms (for example, as part of a single or multiplexed analog signal, or as multiple discrete digital packets or frames). The processes and algorithms may be implemented partially or wholly in application-specific circuitry. The results of the disclosed processes and process steps may be stored, persistently or otherwise, in any type of non-transitory computer storage such as, for example, volatile or non-volatile storage.
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, or any other tangible medium. Such software code may be stored, partially or fully, on a memory device of the executing computing device, such as the programming notebook system 100, 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 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.
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 used herein, such as, among others, “can,” “could,” “might,” “may,” “for example,” and the like, 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 author input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment. The terms “comprising,” “including,” “having,” and the like are synonymous and are used inclusively, in an open-ended fashion, and do not exclude additional elements, features, acts, operations, and so forth. Also, the term “or” is used in its inclusive sense (and not in its exclusive sense) so that when used, for example, to connect a list of elements, the term “or” means one, some, or all of the elements in the list. Conjunctive language such as the phrase “at least one of X, Y and Z,” unless specifically stated otherwise, is otherwise understood with the context as used in general to convey that an item, term, etc. may be either X, Y or Z. Thus, such conjunctive language is not generally intended to imply that certain embodiments require at least one of X, at least one of Y and at least one of Z to each be present.
While certain example embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the disclosure. Thus, nothing in the foregoing description is intended to imply that any particular element, feature, characteristic, step, module, or block is necessary or indispensable. Indeed, the novel methods and systems described herein may be embodied in a variety of other forms; furthermore, various omissions, substitutions, and changes in the form of the methods and systems described herein may be made without departing from the spirit of the inventions disclosed herein. The accompanying claims and their equivalents are intended to cover such forms or modifications as would fall within the scope and spirit of certain of the inventions disclosed herein.
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.
All of the methods and processes described above may be embodied in, and partially or fully automated via, software code modules executed by one or more general purpose computers. For example, the methods described herein may be performed by the programming notebook system 100 and/or any other suitable computing device. The methods may be executed on the computing devices in response to execution of software instructions or other executable code read from a tangible computer readable medium. A tangible computer readable medium is a data storage device that can store data that is readable by a computer system. Examples of computer readable mediums include read-only memory, random-access memory, other volatile or non-volatile memory devices, CD-ROMs, magnetic tape, flash drives, and optical data storage devices.
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.
This application claims priority from provisional U.S. Pat. App. No. 62/097,388, filed on Dec. 29, 2014, which is hereby incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
5109399 | Thompson | Apr 1992 | A |
5329108 | Lamoure | Jul 1994 | A |
5632009 | Rao et al. | May 1997 | A |
5670987 | Doi et al. | Sep 1997 | A |
5781704 | Rossmo | Jul 1998 | A |
5798769 | Chiu et al. | Aug 1998 | A |
5845300 | Comer | Dec 1998 | A |
6057757 | Arrowsmith et al. | May 2000 | A |
6091956 | Hollenberg | Jul 2000 | A |
6161098 | Wallman | Dec 2000 | A |
6219053 | Tachibana et al. | Apr 2001 | B1 |
6232971 | Haynes | May 2001 | B1 |
6247019 | Davies | Jun 2001 | B1 |
6279018 | Kudrolli et al. | Aug 2001 | B1 |
6341310 | Leshem et al. | Jan 2002 | B1 |
6366933 | Ball et al. | Apr 2002 | B1 |
6369835 | Lin | Apr 2002 | B1 |
6456997 | Shukla | Sep 2002 | 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 |
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 |
6877137 | Rivette et al. | Apr 2005 | B1 |
6976210 | Silva et al. | 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 |
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 | Witkowski | Jan 2007 | B2 |
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 | Joseph | May 2008 | B2 |
7426654 | Adams et al. | Sep 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 | Jun 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 |
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 |
7770100 | Chamberlain et al. | Aug 2010 | B2 |
7805457 | Viola et al. | Sep 2010 | B1 |
7809703 | Balabhadrapatruni et al. | Oct 2010 | B2 |
7818658 | Chen | Oct 2010 | B2 |
7870493 | Pall et al. | Jan 2011 | B2 |
7894984 | Rasmussen et al. | Feb 2011 | B2 |
7899611 | Downs et al. | Mar 2011 | B2 |
7917376 | Bellin et al. | Mar 2011 | B2 |
7920963 | Jouline et al. | Apr 2011 | B2 |
7933862 | Chamberlain et al. | Apr 2011 | B2 |
7962281 | Rasmussen et al. | Jun 2011 | B2 |
7962495 | Jain et al. | Jun 2011 | B2 |
7962848 | Bertram | Jun 2011 | B2 |
7970240 | Chao et al. | Jun 2011 | B1 |
7971150 | Raskutti et al. | Jun 2011 | B2 |
7984374 | Caro et al. | Jun 2011 | B2 |
8001465 | Kudrolli et al. | Aug 2011 | B2 |
8001482 | Bhattiprolu et al. | Aug 2011 | B2 |
8010545 | Stefik et al. | Aug 2011 | B2 |
8015487 | Roy et al. | Sep 2011 | B2 |
8024666 | Thompson | Sep 2011 | B2 |
8024778 | Cash et al. | Sep 2011 | B2 |
8036632 | Cona et al. | Oct 2011 | B1 |
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 |
8214361 | Sandler et al. | Jul 2012 | B1 |
8214764 | Gemmell et al. | Jul 2012 | B2 |
8225201 | Michael | 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 |
8290926 | Ozzie et al. | Oct 2012 | B2 |
8290942 | Jones et al. | Oct 2012 | B2 |
8301464 | Cave et al. | Oct 2012 | B1 |
8301904 | Gryaznov | Oct 2012 | B1 |
8312367 | Foster | Nov 2012 | B2 |
8312546 | Alme | Nov 2012 | B2 |
8352881 | Champion et al. | Jan 2013 | B2 |
8368695 | Howell et al. | Feb 2013 | B2 |
8397171 | Klassen et al. | Mar 2013 | B2 |
8412707 | Mianji | Apr 2013 | B1 |
8434068 | Wrighton | Apr 2013 | B2 |
8447722 | Ahuja et al. | May 2013 | B1 |
8452790 | Mianji | May 2013 | B1 |
8463036 | Ramesh et al. | Jun 2013 | B1 |
8489331 | Kopf et al. | Jul 2013 | B2 |
8489641 | Seefeld et al. | Jul 2013 | B1 |
8494984 | Hwang et al. | Jul 2013 | B2 |
8510743 | Hackborn et al. | Aug 2013 | B2 |
8514082 | Cova et al. | Aug 2013 | B2 |
8515207 | Chau | Aug 2013 | B2 |
8554579 | Tribble et al. | Oct 2013 | B2 |
8554653 | Falkenborg et al. | Oct 2013 | B2 |
8554709 | Goodson et al. | Oct 2013 | B2 |
8577911 | Stepinski et al. | Nov 2013 | B1 |
8589273 | Creeden et al. | Nov 2013 | B2 |
8595234 | Siripurapu et al. | Nov 2013 | B2 |
8620641 | Farnsworth et al. | Dec 2013 | B2 |
8646080 | Williamson et al. | Feb 2014 | B2 |
8639757 | Adams et al. | Mar 2014 | B1 |
8676857 | Adams et al. | Mar 2014 | B1 |
8689108 | Duffield et al. | Apr 2014 | B1 |
8713467 | Goldenberg et al. | Apr 2014 | B1 |
8726379 | Stiansen et al. | May 2014 | B1 |
8739278 | Varghese | May 2014 | B2 |
8742934 | Sarpy et al. | Jun 2014 | B1 |
8745516 | Mason et al. | Jun 2014 | B2 |
8781169 | Jackson et al. | Jul 2014 | B2 |
8787939 | Papakipos et al. | Jul 2014 | B2 |
8799799 | Cervelli et al. | Aug 2014 | B1 |
8812947 | Maoz et al. | Aug 2014 | B1 |
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 |
8924872 | Bogomolov et al. | Dec 2014 | B1 |
8937619 | Sharma et al. | Jan 2015 | B2 |
8938686 | Erenrich et al. | Jan 2015 | B1 |
8972899 | Carlsson et al. | Mar 2015 | B2 |
8990686 | Lin | 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 |
9116975 | Shankar et al. | Aug 2015 | B2 |
9299173 | Rope | Mar 2016 | B2 |
20020033848 | Sciammarella et al. | Mar 2002 | A1 |
20020065708 | Senay et al. | May 2002 | A1 |
20020091707 | Keller | Jul 2002 | A1 |
20020095658 | Shulman | Jul 2002 | A1 |
20020116120 | Ruiz et al. | Aug 2002 | A1 |
20020174201 | Ramer et al. | Nov 2002 | A1 |
20020194119 | Wright et al. | Dec 2002 | A1 |
20030028560 | Kudrolli et al. | Feb 2003 | A1 |
20030039948 | Donahue | Feb 2003 | A1 |
20030140106 | Raguseo | Jul 2003 | A1 |
20030144868 | MacIntyre et al. | Jul 2003 | A1 |
20030163352 | Surpin et al. | Aug 2003 | A1 |
20030225755 | Iwayama et al. | Dec 2003 | A1 |
20030229848 | Arend et al. | Dec 2003 | A1 |
20040032432 | Baynger | Feb 2004 | A1 |
20040064256 | Barinek 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 |
20040163039 | McPherson et al. | Aug 2004 | A1 |
20040193600 | Kaasten et al. | Sep 2004 | A1 |
20040221223 | Yu et al. | Nov 2004 | A1 |
20040260702 | Cragun et al. | Dec 2004 | A1 |
20040267746 | Marcjan et al. | Dec 2004 | A1 |
20050027705 | Sadri et al. | Feb 2005 | A1 |
20050028094 | Allyn | Feb 2005 | A1 |
20050039119 | Parks et al. | Feb 2005 | A1 |
20050065811 | Chu et al. | Mar 2005 | A1 |
20050080769 | Gemmell | Apr 2005 | A1 |
20050086207 | Heuer et al. | Apr 2005 | A1 |
20050125715 | Franco et al. | Jun 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 |
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 |
20060059139 | Robinson | Mar 2006 | A1 |
20060074881 | Vembu et al. | Apr 2006 | A1 |
20060080619 | Carlson et al. | Apr 2006 | A1 |
20060129746 | Porter | Jun 2006 | A1 |
20060139375 | Rasmussen et al. | Jun 2006 | A1 |
20060142949 | Helt | Jun 2006 | A1 |
20060149596 | Surpin et al. | Jul 2006 | A1 |
20060203337 | White | Sep 2006 | A1 |
20060218637 | Thomas et al. | Sep 2006 | A1 |
20060241974 | Chao et al. | Oct 2006 | A1 |
20060242040 | Rader | Oct 2006 | A1 |
20060242630 | Koike et al. | Oct 2006 | A1 |
20060271277 | Hu et al. | Nov 2006 | A1 |
20060279630 | Aggarwal et al. | Dec 2006 | A1 |
20070011150 | Frank | Jan 2007 | A1 |
20070016363 | Huang et al. | Jan 2007 | A1 |
20070038646 | Thota | Feb 2007 | A1 |
20070038962 | Fuchs et al. | Feb 2007 | A1 |
20070057966 | Ohno et al. | Mar 2007 | A1 |
20070078832 | Ott et al. | Apr 2007 | A1 |
20070083541 | Fraleigh et al. | Apr 2007 | A1 |
20070094389 | Nussey et al. | Apr 2007 | A1 |
20070150369 | Zivin | Jun 2007 | A1 |
20070174760 | Chamberlain et al. | Jul 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 |
20070240062 | Christena et al. | Oct 2007 | A1 |
20070266336 | Nojima et al. | Nov 2007 | A1 |
20070294643 | Kyle | Dec 2007 | A1 |
20080005677 | Thompson | Jan 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 |
20080104019 | Nath | May 2008 | A1 |
20080126951 | Sood et al. | May 2008 | A1 |
20080155440 | Trevor et al. | Jun 2008 | A1 |
20080162616 | Gross et al. | Jul 2008 | A1 |
20080195417 | Surpin et al. | Aug 2008 | A1 |
20080195608 | Clover | Aug 2008 | A1 |
20080222295 | Robinson et al. | Sep 2008 | A1 |
20080255973 | El Wade et al. | Oct 2008 | A1 |
20080263468 | Cappione et al. | Oct 2008 | A1 |
20080267107 | Rosenberg | Oct 2008 | A1 |
20080276167 | Michael | Nov 2008 | A1 |
20080278311 | Grange et al. | Nov 2008 | A1 |
20080288306 | MacIntyre et al. | Nov 2008 | A1 |
20080301643 | Appleton et al. | Dec 2008 | A1 |
20090002492 | Velipasalar et al. | Jan 2009 | A1 |
20090018994 | Hajdukiewicz | Jan 2009 | A1 |
20090027418 | Maru et al. | Jan 2009 | A1 |
20090030915 | Winter et al. | Jan 2009 | A1 |
20090055251 | Shah et al. | Feb 2009 | A1 |
20090088964 | Schaaf et al. | Apr 2009 | A1 |
20090119309 | Gibson et al. | May 2009 | A1 |
20090125369 | Kloostra 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 |
20090164934 | Bhattiprolu et al. | Jun 2009 | A1 |
20090171939 | Athsani et al. | Jul 2009 | A1 |
20090172511 | Decherd 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 |
20090222400 | Kupershmidt et al. | Sep 2009 | A1 |
20090222760 | Halverson et al. | Sep 2009 | A1 |
20090234720 | George et al. | Sep 2009 | A1 |
20090249244 | Robinson et al. | Oct 2009 | A1 |
20090281839 | Lynn et al. | Nov 2009 | A1 |
20090287470 | Farnsworth et al. | Nov 2009 | A1 |
20090292626 | Oxford | Nov 2009 | A1 |
20100011282 | Dollard et al. | Jan 2010 | A1 |
20100017788 | Bronkhorst | Jan 2010 | A1 |
20100042922 | Bradateanu et al. | Feb 2010 | A1 |
20100057716 | Stefik et al. | Mar 2010 | A1 |
20100070523 | Delgo et al. | Mar 2010 | A1 |
20100070842 | Aymeloglu et al. | Mar 2010 | A1 |
20100070845 | Facemire et al. | Mar 2010 | A1 |
20100070897 | Aymeloglu et al. | Mar 2010 | A1 |
20100100963 | Mahaffey | Apr 2010 | A1 |
20100103124 | Kruzeniski et al. | Apr 2010 | A1 |
20100107146 | Wrighton | Apr 2010 | A1 |
20100114887 | Conway et al. | May 2010 | A1 |
20100122152 | Chamberlain et al. | May 2010 | A1 |
20100131457 | Heimendinger | May 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 |
20100228812 | Uomini | Sep 2010 | A1 |
20100250412 | Wagner | Sep 2010 | A1 |
20100280857 | Liu et al. | Nov 2010 | A1 |
20100293174 | Bennett et al. | Nov 2010 | A1 |
20100306713 | Geisner et al. | Dec 2010 | A1 |
20100313119 | Baldwin et al. | Dec 2010 | A1 |
20100313157 | Carlsson 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 |
20110029526 | Knight et al. | Feb 2011 | A1 |
20110047159 | Baid et al. | Feb 2011 | A1 |
20110060753 | Shaked et al. | Mar 2011 | A1 |
20110061013 | Bilicki 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 |
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 |
20110154295 | Aharoni | Jun 2011 | A1 |
20110161096 | Buehler et al. | Jun 2011 | A1 |
20110167710 | Ramakrishnan et al. | Jul 2011 | A1 |
20110170799 | Carrino et al. | Jul 2011 | A1 |
20110173032 | Payne et al. | Jul 2011 | A1 |
20110185316 | Reid et al. | Jul 2011 | A1 |
20110208724 | Jones et al. | Aug 2011 | A1 |
20110213655 | Henkin | Sep 2011 | A1 |
20110218934 | Elser | Sep 2011 | A1 |
20110219450 | McDougal et al. | Sep 2011 | A1 |
20110225198 | Edwards et al. | Sep 2011 | A1 |
20110238553 | Raj et al. | Sep 2011 | A1 |
20110258158 | Resende et al. | Oct 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 |
20110310005 | Chen et al. | Dec 2011 | A1 |
20110314007 | Dassa et al. | Dec 2011 | A1 |
20120019559 | Siler et al. | Jan 2012 | A1 |
20120036013 | Neuhaus et al. | Feb 2012 | A1 |
20120036434 | Oberstein | Feb 2012 | A1 |
20120050293 | Carlhian 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 |
20120084118 | Bai et al. | Apr 2012 | A1 |
20120106801 | Jackson | May 2012 | A1 |
20120117082 | Koperda et al. | May 2012 | A1 |
20120131512 | Takeuchi 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 |
20120173985 | Peppel | Jul 2012 | A1 |
20120196557 | Reich et al. | Aug 2012 | A1 |
20120196558 | Reich et al. | Aug 2012 | A1 |
20120203708 | Psota et al. | Aug 2012 | A1 |
20120208636 | Feige | Aug 2012 | A1 |
20120221511 | Gibson et al. | Aug 2012 | A1 |
20120221553 | Wittmer et al. | Aug 2012 | A1 |
20120221580 | Barney | Aug 2012 | A1 |
20120245976 | Kumar et al. | Sep 2012 | A1 |
20120246148 | Dror | Sep 2012 | A1 |
20120254129 | Wheeler et al. | Oct 2012 | A1 |
20120284345 | Costenaro et al. | Nov 2012 | A1 |
20120290879 | Shibuya et al. | Nov 2012 | A1 |
20120296907 | Long et al. | Nov 2012 | A1 |
20120311684 | Paulsen et al. | Dec 2012 | A1 |
20120313947 | Rope | Dec 2012 | A1 |
20120323888 | Osann, Jr. | 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 |
20130018796 | Kolhatkar et al. | Jan 2013 | A1 |
20130046635 | Grigg et al. | Feb 2013 | A1 |
20130046842 | Muntz et al. | Feb 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 |
20130097482 | Marantz et al. | Apr 2013 | A1 |
20130110822 | Ikeda et al. | May 2013 | A1 |
20130110877 | Bonham et al. | May 2013 | A1 |
20130111319 | Lin | May 2013 | A1 |
20130111320 | Campbell et al. | May 2013 | A1 |
20130117651 | Waldman et al. | May 2013 | A1 |
20130101159 | Rosen | Jun 2013 | A1 |
20130150004 | Rosen | Jun 2013 | A1 |
20130151148 | Parundekar et al. | Jun 2013 | A1 |
20130151388 | Falkenborg et al. | Jun 2013 | A1 |
20130157234 | Gulli 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 |
20130224696 | Wolfe et al. | Aug 2013 | A1 |
20130226953 | Markovich et al. | Aug 2013 | A1 |
20130238616 | Rose et al. | Sep 2013 | A1 |
20130246170 | Gross et al. | Sep 2013 | A1 |
20130251233 | Yang et al. | Sep 2013 | A1 |
20130262527 | Hunter et al. | Oct 2013 | A1 |
20130263019 | Castellanos et al. | Oct 2013 | A1 |
20130267207 | Hao et al. | Oct 2013 | A1 |
20130268520 | Fisher et al. | Oct 2013 | A1 |
20130275904 | Bhaskaran | Oct 2013 | A1 |
20130279757 | Kephart | Oct 2013 | A1 |
20130282696 | John et al. | Oct 2013 | A1 |
20130290011 | Lynn et al. | Oct 2013 | A1 |
20130290825 | Arndt et al. | Oct 2013 | A1 |
20130297619 | Chandarsekaran et al. | Nov 2013 | A1 |
20130311375 | Priebatsch | Nov 2013 | 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 |
20140047357 | Alfaro 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 |
20140095273 | Tang et al. | 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 |
20140129261 | Bothwell et al. | May 2014 | A1 |
20140149436 | Bahrami et al. | May 2014 | A1 |
20140156527 | Grigg et al. | Jun 2014 | A1 |
20140157172 | Peery et al. | Jun 2014 | A1 |
20140164502 | Khodorenko et al. | Jun 2014 | A1 |
20140164964 | Cannon | Jun 2014 | A1 |
20140189536 | Lange et al. | Jul 2014 | A1 |
20140195515 | Baker et al. | Jul 2014 | A1 |
20140195887 | Ellis et al. | Jul 2014 | A1 |
20140214579 | Shen et al. | Jul 2014 | A1 |
20140267294 | Ma | Sep 2014 | A1 |
20140267295 | Sharma | Sep 2014 | A1 |
20140279824 | Tamayo | Sep 2014 | A1 |
20140281730 | Chazan | Sep 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 |
20150019394 | Unser et al. | Jan 2015 | A1 |
20150026622 | Roaldson | Jan 2015 | A1 |
20150046870 | Goldenberg et al. | Feb 2015 | A1 |
20150089424 | Duffield et al. | Mar 2015 | A1 |
20150100897 | Sun et al. | Apr 2015 | A1 |
20150100907 | Erenrich 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 |
20150178877 | Bogomolov et al. | Jun 2015 | A1 |
20150186821 | Wang et al. | Jul 2015 | A1 |
20150187036 | Wang et al. | Jul 2015 | A1 |
20150227295 | Meiklejohn et al. | Aug 2015 | A1 |
Number | Date | Country |
---|---|---|
102014103482 | 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 |
2891992 | Jul 2015 | EP |
2911100 | Aug 2015 | EP |
2516155 | Jan 2015 | GB |
2518745 | Apr 2015 | GB |
2012778 | Nov 2014 | NL |
2013306 | Feb 2015 | NL |
624557 | Dec 2014 | NZ |
WO 00009529 | Feb 2000 | WO |
WO 02065353 | Aug 2002 | WO |
WO 2005104736 | Nov 2005 | WO |
WO 2008064207 | May 2008 | WO |
WO 2009061501 | May 2009 | WO |
WO 2010000014 | Jan 2010 | WO |
WO 2010030913 | Mar 2010 | WO |
WO 2013010157 | Jan 2013 | WO |
WO 2013102892 | Jul 2013 | WO |
Entry |
---|
Sanner, Michel F. “Python: a programming language for software integration and development.” J Mol Graph Model 17.1 (1999): 57-61. Retrieved on [Sep. 13, 2017] Retrieved from the Internet:URL<https://pdfs.semanticscholar.org/409d/3f740518eafcfaadb054d9239009f3f34600.pdf>. |
Pérez et al. “IPython: a system for interactive scientific computing.” Computing in Science & Engineering 9.3 (2007).Retrieved on [Sep. 13, 2017] Retrieved from the Internet: URL<https://pdfs.semanticscholar.org/409d/3f740518eafcfaadb054d9239009f3f34600.pdf>. |
“A First Look: Predicting Market Demand for Food Retail using a Huff Analysis,” TRF Policy Solutions, Jul. 2012, pp. 30. |
“A Quick Guide to UniProtKB Swiss-Prot & TrEMBL,” Sep. 2011, pp. 2. |
“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/. |
Acklen, Laura, “Absolute Beginner's Guide to Microsoft Word 2003,” Dec. 24, 2003, pp. 15-18, 34-41, 308-316. |
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. |
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, pp. 8. |
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. |
Bugzilla@Mozilla, “Bug 18726—[feature] Long-click means of invoking contextual menus not supported,” http://bugzilla.mozilia.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. |
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. |
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. |
Conner, Nancy, “Google Apps: The Missing Manual,” May 1, 2008, pp. 15. |
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. |
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-analvsis-using-the-huff-model/123411. |
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. |
Goswami, Gautam, “Quite Writly Said!,” One Brick at a Time, Aug. 21, 2005, pp. 7. |
Griffith, Daniel A., “A Generalized Huff Model,” Geographical Analysis, Apr. 1982, vol. 14, No. 2, pp. 135-144. |
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, 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, pp. 16. |
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. |
Huff et al., “Calibrating the Huff Model Using ArcGIS Business Analyst,” ESRI, Sep. 2008, pp. 33. |
Huff, David L., “Parameter Estimation in the Huff Model,” ESRI, ArcUser, Oct.-Dec. 2003, pp. 34-36. |
Kahan et al., “Annotea: an open RDF infrastructure for shared WEB annotations”, Computer Networks 39, pp. 589-608, 2002. |
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. |
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, pp. 8. |
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, pp. 10. |
Manske, “File Saving Dialogs,” http://www.mozilla.org/editor/ui—specs/FileSaveDialogs.html, Jan. 20, 1999, pp. 7. |
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.bing.com. |
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.google.com. |
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.yahoo.com. |
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. |
Mizrachi, Ilene, “Chapter 1: GenBank: The Nuckeotide Sequence Database,” The NCBI Handbook, Oct. 2002, pp. 1-14. |
Nierman, “Evaluating Structural Similarity in XML Documents,” 2002, 6 pages. |
Olanoff, Drew, “Deep Dive with the New Google Maps for Desktop with Google Earth Integration, It's More than Just a Utility,” May 15, 2013, pp. 1-6, 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/. |
Palmas et al., “An Edge-Bunding Layout for Interactive Parallel Coordinates” 2014 IEEE Pacific Visualization Symposium, pp. 57-64. |
“Potential Money Laundering Warning Signs,” snapshot taken 2003, https://web.archive.org/web/20030816090055/http:/finsolinc.com/ANTI-MONEY%20LAUNDERING%20TRAINING°GUIDES.pdf. |
“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. |
Rouse, Margaret, “OLAP Cube,” http://searchdatamanacernent.techtarget.com/definition/OLAP-cube, Apr. 28, 2012, pp. 16. |
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. |
“The FASTA Program Package,” fasta-36.3.4, Mar. 25, 2011, pp. 29. |
Thompson, Mick, “Getting Started with GEO,” Getting Started with GEO, Jul. 26, 2011. |
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. |
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. |
Yang et al., “HTML Page Analysis Based on Visual Cues,” 2001, pp. 859-864. |
Notice of Allowance for U.S. Appl. No. 14/102,394 dated Aug. 25, 2014. |
Notice of Allowance for U.S. Appl. No. 14/108,187 dated Aug. 29, 2014. |
Notice of Allowance for U.S. Appl. No. 14/135,289 dated Oct. 14, 2014. |
Notice of Allowance for U.S. Appl. No. 14/192,767 dated Dec. 16, 2014. |
Notice of Allowance for U.S. Appl. No. 14/225,084 dated May 4, 2015. |
Notice of Allowance for U.S. Appl. No. 14/268,964 dated Dec. 3, 2014. |
Notice of Allowance for U.S. Appl. No. 14/294,098 dated Dec. 29, 2014. |
Notice of Allowance for U.S. Appl. No. 14/473,552 dated Jul. 24, 2015. |
Notice of Allowance for U.S. Appl. No. 14/473,860 dated Jan. 5, 2015. |
Notice of Allowance for U.S. Appl. No. 14/486,991 dated May 1, 2015. |
Notice of Allowance for U.S. Appl. No. 14/504,103 dated May 18, 2015. |
Notice of Allowance for U.S. Appl. No. 14/616,080 dated Apr. 2, 2015. |
Official Communication for Australian Patent Application No. 2014201511 dated Feb. 27, 2015. |
Official Communication for Australian Patent Application No. 2014202442 dated Mar. 19, 2015. |
Official Communication for Australian Patent Application No. 2014210604 dated Jun. 5, 2015. |
Official Communication for Australian Patent Application No. 2014210614 dated Jun. 5, 2015. |
Official Communication for Australian Patent Application No. 2014213553 dated May 7, 2015. |
Official Communication for Australian Patent Application No. 2014250678 dated Jun. 17, 2015. |
Official Communication for European Patent Application No. 14158861.6 dated Jun. 16, 2014. |
Official Communication for European Patent Application No. 14159464.8 dated Jul. 31, 2014. |
Official Communication for European Patent Application No. 14180142.3 dated Feb. 6, 2015. |
Official Communication for European Patent Application No. 14180281.9 dated Jan. 26, 2015. |
Official Communication for European Patent Application No. 14180321.3 dated Apr. 17, 2015. |
Official Communication for European Patent Application No. 14180432.8 dated Jun. 23, 2015. |
Official Communication for European Patent Application No. 14186225.0 dated Feb. 13, 2015. |
Official Communication for European Patent Application No. 14187739.9 dated Jul. 6, 2015. |
Official Communication for European Patent Application No. 14187996.5 dated Feb. 12, 2015. |
Official Communication for European Patent Application No. 14189344.6 dated Feb. 20, 2015. |
Official Communication for European Patent Application No. 14189347.9 dated Mar. 4, 2015. |
Official Communication for European Patent Application No. 14189802.3 dated May 11, 2015. |
Official Communication for European Patent Application No. 14191540.5 dated May 27, 2015. |
Official Communication for European Patent Application No. 14197879.1 dated Apr. 28, 2015. |
Official Communication for European Patent Application No. 14197895.7 dated Apr. 28, 2015. |
Official Communication for European Patent Application No. 14199182.8 dated Mar. 13, 2015. |
Official Communication for Great Britain Patent Application No. 1404457.2 dated Aug. 14, 2014. |
Official Communication for Great Britain Patent Application No. 1404574.4 dated Dec. 18, 2014. |
Official Communication for Great Britain Patent Application No. 1408025.3 dated Nov. 6, 2014. |
Official Communication for Great Britain Patent Application No. 1411984.6 dated Dec. 22, 2014. |
Official Communication for Great Britain Patent Application No. 1413935.6 dated Jan. 27, 2015. |
Official Communication for Netherlands Patent Application No. 2013306 dated Apr. 24, 2015. |
Official Communication for New Zealand Patent Application No. 622513 dated Apr. 3, 2014. |
Official Communication for New Zealand Patent Application No. 622517 dated Apr. 3, 2014. |
Official Communication for New Zealand Patent Application No. 624557 dated May 14, 2014. |
Official Communication for New Zealand Patent Application No. 627962 dated Aug. 5, 2014. |
Official Communication for New Zealand Patent Application No. 628161 dated Aug. 25, 2014. |
Official Communication for New Zealand Patent Application No. 628263 dated Aug. 12, 2014. |
Official Communication for New Zealand Patent Application No. 628495 dated Aug. 19, 2014. |
Official Communication for New Zealand Patent Application No. 628585 dated Aug. 26, 2014. |
Official Communication for New Zealand Patent Application No. 628840 dated Aug. 28, 2014. |
Official Communication for U.S. Appl. No. 12/556,318 dated Jul. 2, 2015. |
Official Communication for U.S. Appl. No. 13/247,987 dated Apr. 2, 2015. |
Official Communication for U.S. Appl. No. 13/831,791 dated Mar. 4, 2015. |
Official Communication for U.S. Appl. No. 13/831,791 dated Aug. 6, 2015. |
Official Communication for U.S. Appl. No. 13/835,688 dated Jun. 17, 2015. |
Official Communication for U.S. Appl. No. 13/839,026 dated Aug. 4, 2015. |
Official Communication for U.S. Appl. No. 14/148,568 dated Oct. 22, 2014. |
Official Communication for U.S. Appl. No. 14/148,568 dated Mar. 26, 2015. |
Official Communication for U.S. Appl. No. 14/196,814 dated May 5, 2015. |
Official Communication for U.S. Appl. No. 14/225,006 dated Sep. 10, 2014. |
Official Communication for U.S. Appl. No. 14/225,006 dated Sep. 2, 2015. |
Official Communication for U.S. Appl. No. 14/225,006 dated Feb. 27, 2015. |
Official Communication for U.S. Appl. No. 14/225,084 dated Sep. 2, 2014. |
Official Communication for U.S. Appl. No. 14/225,084 dated Feb. 20, 2015. |
Official Communication for U.S. Appl. No. 14/225,160 dated Feb. 11, 2015. |
Official Communication for U.S. Appl. No. 14/225,160 dated Aug. 12, 2015. |
Official Communication for U.S. Appl. No. 14/225,160 dated May 20, 2015. |
Official Communication for U.S. Appl. No. 14/225,160 dated Oct. 22, 2014. |
Official Communication for U.S. Appl. No. 14/225,160 dated Jul. 29, 2014. |
Official Communication for U.S. Appl. No. 14/268,964 dated Sep. 3, 2014. |
Official Communication for U.S. Appl. No. 14/289,596 dated Jul. 18, 2014. |
Official Communication for U.S. Appl. No. 14/289,596 dated Jan. 26, 2015. |
Official Communication for U.S. Appl. No. 14/289,596 dated Apr. 30, 2015. |
Official Communication for U.S. Appl. No. 14/289,599 dated Jul. 22, 2014. |
Official Communication for U.S. Appl. No. 14/289,599 dated May 29, 2015. |
Official Communication for U.S. Appl. No. 14/294,098 dated Aug. 15, 2014. |
Official Communication for U.S. Appl. No. 14/294,098 dated Nov. 6, 2014. |
Official Communication for U.S. Appl. No. 14/306,138 dated Feb. 18, 2015. |
Official Communication for U.S. Appl. No. 14/306,138 dated Sep. 23, 2014. |
Official Communication for U.S. Appl. No. 14/306,138 dated May 26, 2015. |
Official Communication for U.S. Appl. No. 14/306,147 dated Feb. 19, 2015. |
Official Communication for U.S. Appl. No. 14/306,147 dated Aug. 7, 2015. |
Official Communication for U.S. Appl. No. 14/306,147 dated Sep. 9, 2014. |
Official Communication for U.S. Appl. No. 14/306,154 dated Mar. 11, 2015. |
Official Communication for U.S. Appl. No. 14/306,154 dated May 15, 2015. |
Official Communication for U.S. Appl. No. 14/306,154 dated Jul. 6, 2015. |
Official Communication for U.S. Appl. No. 14/306,154 dated Sep. 9, 2014. |
Official Communication for U.S. Appl. No. 14/319,765 dated Jun. 16, 2015. |
Official Communication for U.S. Appl. No. 14/319,765 dated Nov. 25, 2014. |
Official Communication for U.S. Appl. No. 14/319,765 dated Feb. 4, 2015. |
Official Communication for U.S. Appl. No. 14/323,935 dated Jun. 22, 2015. |
Official Communication for U.S. Appl. No. 14/323,935 dated Nov. 28, 2014. |
Official Communication for U.S. Appl. No. 14/323,935 dated Mar. 31, 2015. |
Official Communication for U.S. Appl. No. 14/326,738 dated Dec. 2, 2014. |
Official Communication for U.S. Appl. No. 14/326,738 dated Jul. 31, 2015. |
Official Communication for U.S. Appl. No. 14/326,738 dated Mar. 31, 2015. |
Official Communication for U.S. Appl. No. 14/473,552 dated Feb. 24, 2015. |
Official Communication for U.S. Appl. No. 14/486,991 dated Mar. 10, 2015. |
Official Communication for U.S. Appl. No. 14/504,103 dated Mar. 31, 2015. |
Official Communication for U.S. Appl. No. 14/504,103 dated Feb. 5, 2015. |
Official Communication for U.S. Appl. No. 14/579,752 dated Aug. 19, 2015. |
Official Communication for U.S. Appl. No. 14/579,752 dated May 26, 2015. |
Official Communication for U.S. Appl. No. 14/631,633 dated Sep. 10, 2015. |
Official Communication for U.S. Appl. No. 14/639,606 dated May 18, 2015. |
Official Communication for U.S. Appl. No. 14/639,606 dated Jul. 24, 2015. |
Official Communication for U.S. Appl. No. 15/392,168 dated Feb. 27, 2017. |
IBM Cognos software—Business Intelligence, https://www.ibm.com/analytics/us/en/technology/cognos-software/, as printed Feb. 15, 2017 in 7 pages. |
IBM Cognos Analytics, https://www-03.ibm.com/software/products/en/cognos-analytics, as printed Feb. 15, 2017 in 2 pages. |
WebsterAnalytics, “Presenting IBM Cognos Analytics,” available at https://www.youtube.com/watch?v=—cLwCyDzfY, as published on Nov. 29, 2015. |
IBM Cognos Analytics, “Quick Dashboard Creation with Cognos Analytics,” available at https://www.youtube.com/watch?v 8OVXkKDoL8Y, as published on Oct. 26, 2015. |
Senturus, “Getting Started with IBM Cognos BI,” available at https://www.youtube.com/watch?y=SCEXckRaAl, as published on Mar. 20, 2015. |
IBM Cognos Analytics, “Cognos Dynamic Cubes,” available at https://www.youtube.com/watch?v.=T1HrJlWBrfE, as published on Dec. 3, 2014. |
IBM Knowledge Center, “Maps,” https://www/ibm.com/support/knowledgecenter/SSRL5J—1.01/com.ibm.swg.ba.cognos.ug—cr—rptstd.10.1.1.doc/c—cr—rptstd—reptyp—maps.html, as printed Feb. 16, 2017 in 1 page. |
IBM Knowledge Center, “IBM Cognos Analytics new features 11.0,” https://www.ibm.com/support/knowledgecenter/en/SSEP7J—11.0.0/com.ibm.swg.ba.cognos.ca—new.doc/c—ca—nf—11—0—x.html, as printed Mar. 6, 2017 in 8 pages. |
IBM Knowledge Center, “IBM Cognos Analytics | Visualizations,” https://www.ibm.com/support/knowledgecenter/en/SSEP7J—11.0.0/com.ibm.swg.ba.cognos.ug—ca—dshb.doc/wa—an—visualizations—intro.html, as printed Mar. 6, 2017 in 2 pages. |
IBM Knowledge Center, “Creating a data module,” https://www.ibm.com/support/knowledgecenter/SSEP7J—11.0/com.ibm.swg.ba.cognos.ca—, rndig.doc/c—data—modules.html, as printed Mar. 6, 2017 in 1 page. |
IBM Support, “Software lifecycle—Cognos Analytics 11.0.x,” https://www-01.ibm.com/software/support/lifecycleapp/PLCDetail.wss?q45=K177789J28225R03, as printed Mar. 7, 2017 in 1 page. |
IBM Predictive Analytics, http://www.ibm.com/analytics/us/en/technology/predictive-analytics/, as printed Feb. 15, 2017 in 12 pages. |
IBM SPSS Modeler, https;//www.ibm.com/us-en/marketplace/spss-modeler, as printed Feb. 15, 2017 in 5 pages. |
IBM Analytics, “IBM SPSS software and Watson Analytics: A powerful combo for the cognitive age,” available at https://www.youtube.com/watch?v=AvYctzFf8gc, as published on Apr. 14, 2016. |
Armand Ruiz, “Watson Analytics, SPSS Modeler and Esri ArcGIS,” available at https://www.youtube.com/watch?v=lk49hw4OrN4, as published on Jul. 28, 2015. |
IBM Knowledge Center, “Merge Node,” https://www.ibm.com/support/knowledgecenter/en/SS3RA7—15.0.0/com.ibm.spss.modeler.help/merge—overview.htm[ibm.com], as printed Feb. 14, 2017 in 1 page. |
IBM Knowledge Center, “New features in IBM SPSS Modeler Professional,” https://www.ibm.com/support/knowledgecenter/en/SS3RA7—15.0.0/com.ibm.spss.modeler.help/whatsnew—features—pro.htm[ibm.com], as printed Feb. 14, 2017 in 2 pages. |
IBM Knowledge Center, “Overview—What's new in IBM Watson Explorer Content Analytics Version 10.0,” https://www.ibm.com/support/knowledgecenter/en/SS8NLW—10.0.0/com.ibm.discovery.es.nav. doc/llysawhatsnew.htm, as printed Mar. 6, 2017 in 4 pages. |
Yates, Rob, “Introducing the IBM Watson Natural Language Classifier,” IBM developerWorks/Developer Centers, posted Jul. 10, 2015 in 4 pages, https://developer.ibm.com/watson/blog/2015/07/10/the-ibm-watson-natural-language-dassifier/. |
Goyal, Manish, “Announcing our largest release of Watson Developer Cloud services,” IBM developerWorks/Developer Centers, posted Sep. 24, 2015 in 6 pages, https://developer.ibm.com/watson/blog/2015/09/24/announcing-our-largest-release-of-watson-developer-cloud-services/. |
IBM Analytics Communities, “Is IBM SPSS statistics now integrated to WatsonAnalytics?” https://community.watsonanalytics.com/discussions/questions/1464/Is-ibm-spss-statistics-now-integrated-to-watsonana.html, as printed Mar. 7, 2017 in 2 pages. |
IBM Support, “Software lifecycle—Watson Explorer 10.0.0,” https://www-01.ibm.com/software/support/lifecycleapp/PLCDetail.wss?g45=T283072T66911H98, as printed Mar. 7, 2017 in 1 page. |
IBM Analytics Communities, “Creating a map visualization for UK coordinates,” https://community.watsonanalytics.com/discussions/questions/3753/creating-a-map-visualisation-for-uk-coordinates.html, as printed Mar. 9, 2017 in 1 page. |
Esri News, “IBM and Esri Team Up to Offer Cognitive Analyrics and loT in the IBM Cloud,” http://www.esri.com/esri-news/releases/16-4qtr/ibm-and-esri-team-up-to-offer-cognitive-analytics-and-iot-in-the-ibm-cloud, as published on Oct. 26, 2016, in 2 pages. |
Number | Date | Country | |
---|---|---|---|
62097388 | Dec 2014 | US |