Embodiments of the present disclosure relate to data processing, including database and file management, as well as a database system for accessing one or more databases or other data structures, and triggering event notifications based on updates to database records.
Electronic databases provide for storage and retrieval of digital data records. Data records in such databases may be electronically updated.
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 described briefly.
Embodiments of the present disclosure relate to a database system (also herein referred to as “the system”) for triggering event notifications (also referred to herein as “notifications” or “alerts”) based on updates to database records. The system may advantageously provide notifications to interested users of certain types of changes to certain database records. For example, a user may be interested a particular database record, and more specifically to a particular type of change to the particular database record. The system advantageously, upon a change to the particular database record, may determine that the user is interested in changes to the particular database record, and may thus generate a log of the change. Then, the system may then determine that the change that was logged is of the particular type, and may thus generate and send a notification to the user. Further, advantageously, the notification may include information about the change that may be quite useful to the user.
In some implementations, the system may store a history of previous notifications. Thus, for example, the system may advantageously avoid sending out duplicate notifications, and/or may prioritize particular notifications. Further, the system may determine that notifications are to be generated based on historical data.
In some implementations, the system may receive, from various users, indications of triggers that may be implemented by the system. A trigger may be associated with a particular user, such that notifications resulting from that trigger are sent to the user. In some implementations, the notification may cause activation of a device or software application, enabling rapid notification and/or automation activities.
In some implementations, the system may process hundreds of millions (or more) of data record updates each day, and may determine and generate millions (or more) of triggers and event notifications each day. Accordingly, in various embodiments, large amounts of data are automatically and dynamically processed in response to user inputs.
Various embodiments of the present disclosure provide improvements to various technologies and technological fields. For example, existing database systems may lack notifications. The present disclosure describes improvements to, and useful applications of, database systems. For example, the database system disclosed here, according to various embodiments, efficiently monitors a database for triggering events, and dynamically generates notifications in response to those triggering events. Additionally, various embodiments of the present disclosure are inextricably tied to computer technology. In particular, various systems and methods discussed herein provide monitoring of electronic databases, processing of large volumes of data items, generation and transmission of electronic notifications, and the like. Such features and others are intimately tied to, and enabled by, computer technology, and would not exist except for computer technology. Further, the implementation of the various embodiments of the present disclosure via computer technology enables many of the advantages described herein, including more efficient processing of various types of electronic data.
According to an embodiment, a database system is disclosed for triggering event notifications based on updates to database records. The database system may comprise a first database including a plurality of records; a second database including a plurality of trigger indicators; and a hardware processor configured to execute computer-executable instructions. The hardware processor may be configured to execute computer-executable instructions in order to: receive an update data item; identify, in the first database, a first record of the plurality of records corresponding to the update data item; cause an update to the first record based on information included with the update data item; generate a log of the update to the first record; compare the log of the update to the plurality of trigger indicators included in the second database; identify, in the second database, a first trigger indicator of the plurality of trigger indicators corresponding to the update to the first record; determine that a type of the first trigger indicator matches a type of the update to the first record; and generate an event notification including information included in the update.
Additional embodiments of the disclosure are described below in reference to the appended claims, which may serve as an additional summary of the disclosure.
In various embodiments, computer systems are disclosed that comprise one or more hardware computer processors in communication with one or more non-transitory computer readable storage devices, wherein the one or more hardware computer processors are configured to execute the plurality of computer executable instructions in order to cause the computer system to perform operations comprising one or more aspects of the above-described embodiments (including one or more aspects of the appended claims).
In various embodiments, computer-implemented methods are disclosed in which, under control of one or more hardware computing devices configured with specific computer executable instructions, one or more aspects of the above-described embodiments (including one or more aspects of the appended claims) are implemented and/or performed.
In various embodiments, computer readable storage mediums storing software instructions are disclosed, wherein, in response to execution by a computing system having one or more hardware processors, the software instructions configure the computing system to perform operations comprising one or more aspects of the above-described embodiments (including one or more aspects of the appended claims).
The following drawings and the associated descriptions are provided to illustrate embodiments of the present disclosure and do not limit the scope of the claims. Aspects and many of the attendant advantages of this disclosure will become more readily appreciated as the same become better understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings, wherein:
Although certain preferred embodiments and examples are disclosed below, inventive subject matter extends beyond the specifically disclosed embodiments to other alternative embodiments and/or uses and to modifications and equivalents thereof. Thus, the scope of the claims appended hereto is not limited by any of the particular embodiments described below. For example, in any method or process disclosed herein, the acts or operations of the method or process may be performed in any suitable sequence and are not necessarily limited to any particular disclosed sequence. Various operations may be described as multiple discrete operations in turn, in a manner that may be helpful in understanding certain embodiments; however, the order of description should not be construed to imply that these operations are order dependent. Additionally, the structures, systems, and/or devices described herein may be embodied as integrated components or as separate components. For purposes of comparing various embodiments, certain aspects and advantages of these embodiments are described. Not necessarily all such aspects or advantages are achieved by any particular embodiment. Thus, for example, various embodiments may be carried out in a manner that achieves or optimizes one advantage or group of advantages as taught herein without necessarily achieving other aspects or advantages as may also be taught or suggested herein.
Overview
As mentioned above, embodiments of the present disclosure relate to a database system (also herein referred to as “the system”) for triggering event notifications (also referred to herein as “notifications” or “alerts”) based on updates to database records. The system may advantageously provide notifications to interested users of certain types of changes to certain database records. For example, a user may be interested a particular database record, and more specifically to a particular type of change to the particular database record. The system advantageously, upon a change to the particular database record, may determine that the user is interested in changes to the particular database record, and may thus generate a log of the change. Then, the system may then determine that the change that was logged is of the particular type, and may thus generate and send a notification to the user. Further, advantageously, the notification may include information about the change that may be quite useful to the user.
In some implementations, the system may store a history of previous notifications. Thus, for example, the system may advantageously avoid sending out duplicate notifications, and/or may prioritize particular notifications. Further, the system may determine that notifications are to be generated based on historical data.
In some implementations, the system may receive, from various users, indications of triggers that may be implemented by the system. A trigger may be associated with a particular user, such that notifications resulting from that trigger are sent to the user. In some implementations, the notification may cause activation of a device or software application, enabling rapid notification and/or automation activities.
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.
Terms
In order to facilitate an understanding of the systems and methods discussed herein, a number of terms are defined below. The terms defined below, as well as other terms used herein, should be construed broadly to include the provided definitions, the ordinary and customary meaning of the terms, and/or any other implied meaning for the respective terms. Thus, the definitions below do not limit the meaning of these terms, but only provide exemplary definitions.
Data Store: Any computer readable storage medium and/or device (or collection of data storage mediums and/or devices). Examples of data stores include, but are not limited to, optical disks (e.g., CD-ROM, DVD-ROM, etc.), magnetic disks (e.g., hard disks, floppy disks, etc.), memory circuits (e.g., solid state drives, random-access memory (RAM), etc.), and/or the like. Another example of a data store is a hosted storage environment that includes a collection of physical data storage devices that may be remotely accessible and may be rapidly provisioned as needed (commonly referred to as “cloud” storage).
Database: Any data structure (and/or combinations of multiple data structures) for storing and/or organizing data, including, but not limited to, relational databases (e.g., Oracle databases, mySQL databases, etc.), non-relational databases (e.g., NoSQL databases, etc.), in-memory databases, spreadsheets, as comma separated values (CSV) files, eXtensible markup language (XML) files, TeXT (TXT) files, flat files, spreadsheet files, and/or any other widely used or proprietary format for data storage. Databases are typically stored in one or more data stores. Accordingly, each database referred to herein (e.g., in the description herein and/or the figures of the present application) is to be understood as being stored in one or more data stores.
Database Record and/or Record: One or more related data items stored in a database. The one or more related data items making up a record may be related in the database by a common key value and/or common index value, for example.
Update Data Item and/or Update: Any data item that may be used to update a database record, in whole or in part. For example, an update data item may indicate that it is related to a corresponding database record. The system may compare the update data item to the corresponding database record, determine that the update data item indicates a change to one or more data items of the database record, and then update the database record as indicated by the update data item.
Trigger Indicator and/or Trigger: Any rule that indicates a database record change of interest. A trigger may indicate one or more of: a user associated with the trigger, one or more records of interest (e.g., as indicated by key values and/or index values associated with those one or more records), one or more types of record changes of interest, and/or the like. A trigger may include one or more logical rules.
Event Notification, Notification, and/or Alert: Any notification of a record change of interest. Notifications may include information regarding the record change of interest, and may indicate, e.g., to a user, the occurrence of an event of interest. Notifications may be transmitted electronically, and may cause activation of one or more processes, as described herein.
User: An entity that defines a trigger (e.g., and that is interested in receiving notifications upon the occurrence of record changes indicated by the trigger).
Example Operation of the System
At block 1002, the system receives update data items. Such update data items may include, for example, any changes to database records stored by the system in records database 162. Examples of such data items are described below. The system implements these update data items in the records database 162. For example, the system may compare information of the update data item to information of a corresponding database record of the records database 162.
In some instances, the system may determine that information of the corresponding database record is to be updated. For example, the database record may represent a person, and may include the person's name, address, and phone number. Further, the database record may be associated with a unique identifier (e.g., a key value and/or index value). The system may determine that the received update data item is associated with the database record because the update data item includes information that associates the update data item with the database record. For example, the update data item may include the unique identifier, and/or the update data item may include another identifier that may be used to map to the unique identifier by reference to additional information. The system may then determine that the update data item includes a new phone number for the person, and may therefore update the database record with the new phone number information.
In some instance the system may determine that information of the corresponding database record is not to be updated. For example, the update data item may include a phone number, but the system may determine that the phone number is already included in the database record. Accordingly, no update may be necessary.
At block 1006, the system generates a log of each database record update performed by the system. In some implementations, the log includes one or more (or all) items included in the corresponding database record. Further, the log includes an indication of the change or update that was performed in the records database 162.
Database record updates/changes may be continuously logged as the records database 162 is updated. Advantageously, logging updates to the records database 162 speeds up later evaluation of triggers. For example, as described below, triggers may be evaluated against the log of record changes, and may not need to be evaluated against the records database 162 as a whole. This aspect may significantly reduce processing power needed to generate event notifications. Further, because much information related to the updated record may be included in the log, the system may not need to re-query the database to generate notifications, further making the process of generating notification more efficient and less processor intensive. In some implementations, logs of database record updates may be stored in the historical database 163, as described below.
At block 1008, the system receives trigger indicators (e.g., from a user). Such trigger indicators items may include, for example, any rule that indicates a database record change of interest. Examples of such triggers are described below. The system stored these triggers in a triggers database 1010. As an example, a trigger may be associated with a particular record of the records database 162. As with the update data items described above, the trigger may be associated with the particular record by indication of the unique identifier of that record, and/or by any other indication that may be mapped to the record.
The trigger may indicate that only certain changes/updates, or certain types of changes/updates are to cause the system to generate notifications. For example, if the record represents a person (as described above), the trigger may indicate that only changes to the phone number are to trigger notifications.
At block 1012, the system evaluates the log of record changes/updates (from block 1006) and the triggers of the triggers database 1010. For example, in some implementations the system compares each trigger with each logged record change to determine any matches. A match may include, for example, when a particular record identified by a trigger indicates a change of a type indicated by the trigger. In some implementations, both the log of record changes and the triggers of the triggers database 1010 may be indexed by unique identifier (as mentioned above), and one or the other may be queried against the other. In some implementations, the system may determine that certain logged record changes are not associated with any triggers, and discard those certain record changes. In some implementations certain trigger and/or record information may be used to efficiently filter out logged record changes that do not correspond to any triggers. For example, as a preliminary step, the system may filter out any record updates that are not associated with any unique identifiers indicate by the triggers. Then, as a secondary step, the system may evaluate the remaining record changes to see if other criteria of the triggers (e.g., that a type of a change matches a type identified in a corresponding trigger) match such that notifications are to be generated and sent.
Advantageously, as described above, by logging record changes separate from the records database 162, the system may more quickly and efficiently (e.g., by use of less processor time or power) evaluate the triggers and generate notifications. This is because, for example, the entire records database 162 does not need to be evaluated for changes that match triggers.
At block 1014, the system generates and sends notifications for each trigger that is satisfied. The generated notification or alert may comprise a digital and/or electronic message. The notification may include an indication of the corresponding record change, and any other data items from the corresponding record and/or the trigger. The notification may be sent to the user that provided the trigger indicator, and/or to any other recipient indicated by the trigger. Further, the notification may be delivered by any appropriate mode.
In some embodiments, the alert and/or notification is automatically transmitted to a device operated by the user associated with corresponding trigger. The alert and/or notification can be transmitted at the time that the alert and/or notification is generated or at some determined time after generation of the alert and/or notification. When received by the device, the alert and/or notification can cause the device to display the alert and/or notification via the activation of an application on the device (e.g., a browser, a mobile application, etc.). For example, receipt of the alert and/or notification may automatically activate an application on the device, such as a messaging application (e.g., SMS or MMS messaging application), a standalone application (e.g., a health data monitoring application or collection management application used by a collection agency), or a browser, for example, and display information included in the alert and/or notification. If the device is offline when the alert and/or notification is transmitted, the application may be automatically activated when the device is online such that the alert and/or notification is displayed. As another example, receipt of the alert and/or notification may cause a browser to open and be redirected to a login page generated by the system so that the user can log in to the system and view the alert and/or notification. Alternatively, the alert and/or notification may include a URL of a webpage (or other online information) associated with the alert and/or notification, such that when the device (e.g., a mobile device) receives the alert, a browser (or other application) is automatically activated and the URL included in the alert and/or notification is accessed via the Internet.
In some implementations, the alert and/or notification may be automatically routed directly to an interactive user interface where it may be viewed an evaluated by a user. In another example, the alert and/or notification may be automatically routed directly to a printer device where it may be printed in a report for review by a user. In another example, the alert and/or notification may be automatically routed directly to an electronic work queue device such that information from the notification may automatically be displayed to a user, and optionally information from the notification may be automatically used, e.g., to contact (e.g., dial a phone number) the person represented by the updated record.
In various implementations, record changes may be logged continuously, in real-time or substantially real-time, and/or in batch. In various implementations, triggers and record changes may be evaluated (e.g., as in block 1012) continuously, in real-time or substantially real-time, and/or in batch. In various implementations, notification may be generated and/or sent continuously, in real-time or substantially real-time, and/or in batch.
As indicated by arrow 1016, in some implementations the system may store a history of previous notification in the historical database 163. For example, in some instances a trigger may indicate that no notifications for certain record updates (and/or certain types of updates) are to be provided when such certain record updates are made close in time (e.g., within a “cool off” period) to certain other record updates (and/or notifications). In another example, in some instances trigger may indicate a hierarchy of updates/changes, such that certain record updates (and/or certain types of updates) are to trigger notification in preference to other record updates. In these examples (and others, as described below), the system may advantageously store a history of previous notification in the historical database 163. Examples of such cool offs, hierarchical triggers, and other similar filters that may be implemented in the current system are described in Appendix A of U.S. Provisional Patent Application No. 62/316,399, incorporated by reference herein. Such storage of historical notification information may advantageously also reduce processing power as the system may not need to re-query either the log of record changes or the records database 162 to implement triggers such as those mentioned above (e.g., the rely on some historical notification information).
Additional examples of triggers that may be implemented by the system are also described in Appendix B of U.S. Provisional Patent Application No. 62/316,399, incorporated by reference herein. Therefore any of the examples of triggers described in Appendix A and Appendix B of U.S. Provisional Patent Application No. 62/316,399 may be implemented in combination with one or more implementations/embodiments of the system described herein.
In some implementations, the system advantageously determines whether the update data items originate with, or are associated with, the user who provided a trigger. If so, the system does not generate a notification for that update as, presumably, the user is already aware of the change. In another implementation, the system advantageously provides such notification to the user (e.g., when requested by the user), e.g., as a double check for the user that their data is correctly updated.
In some implementations, the system periodically and/or regularly purges triggers. For example, on a monthly basis, the system may remove any triggers that have not been renewed by the respective user associated with the triggers. In this example, the system may require that users indicate, on a monthly basis, that they are authorized to continue to monitor the relevant records for the particular changes they are triggering one. If such an indication is not received, the system may delete the trigger. Advantageously, such purging of triggers may maintain the efficiency of the system (e.g., in terms of processing power, memory requirements, etc.) by preventing significant buildup of triggers over time, many of which may not be of interest to their respective users any longer.
In various implementations, the records database 162, the historical database 163, the triggers database 1010, and/or any combination of these databases or other databases and/or data storage devices of the system may be combined and/or separated into additional databases.
Additional Example Implementations of the System
The computing system 100 may include, for example, a personal computer that is IBM, Macintosh, or Linux/Unix compatible. In one embodiment, the computing system 100 comprises a server, a laptop computer, a cell phone, a personal digital assistant, a kiosk, or an audio player, for example. In one embodiment, the exemplary computing system 100 includes a central processing unit (“CPU”) 105, which may include a conventional microprocessor. The computing system 100 further includes a memory 130, such as random access memory (“RAM”) for temporary storage of information and a read only memory (“ROM”) for permanent storage of information, and a mass storage device 120, such as a hard drive, diskette, or optical media storage device. Typically, the modules of the computing system 100 are connected to the computer using a standards based bus system. In different embodiments, the standards based bus system could be Peripheral Component Interconnect (PCI), Microchannel, SCSI, Industrial Standard Architecture (ISA) and Extended ISA (EISA) architectures, for example.
The computing system 100 is generally controlled and coordinated by operating system software, such as Windows 95, Windows 98, Windows NT, Windows 2000, Windows XP, Windows Vista, Linux, SunOS, Solaris, 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 computing 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 computing 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 device, such as a monitor, that allows the visual presentation of data to a user. More particularly, a display device provides for the presentation of graphical user interfaces (“GUIs”), application software data, and multimedia presentations, for example. The computing system 100 may also include one or more multimedia devices 140, such as speakers, video cards, graphics accelerators, and microphones, for example.
In the embodiment of
As shown in
Although one user 164 is shown in
As shown, the computing system of
In one embodiment, the trigger module 150 generates alerts/notifications that are transmitted to the user 164 when a trigger is activated. As described above, the alert may be provided to the user 164 in various formats, such as an email, a file indicating alerts for each of a plurality of database records, a web interface, or any other suitable format. In an example, an alert indicates to the user 164 that a consumer having accounts with outstanding debt, such as an account for which collection efforts have previously been abandoned, may now be a good target for renewed collection efforts.
In an embodiment, the trigger module 150 comprises a rules engine that is configured to receive one or more logical rules (e.g., trigger indicators) as input, execute the logical rules on various data (e.g., database records from the records database 162 and/or the historical database 1010), and generate one or more outputs (e.g., notifications).
Databases and Data Sources
In some implementations, the historical database 163 (
Monitoring Database Activity and Generating Alerts
The process 300 begins at block 301 where database records are identified to be monitored (e.g., by one or more trigger indicators). Database records to be monitored may be determined, for example, based on a file provided by a user 164 that lists trigger indicators. The user 164 may provide identifying data such as a database record key value (e.g., in some implementations his may include a consumer name, address, and/or social security number in order to identify a consumer). A web page stored on the computing system 100 may be accessed by the user 164 in order to provide trigger information in some embodiments. According to some embodiments, the computing system 100 monitors the records database 162 for which database records are available. In an embodiment where database records are stored as snapshots in the historical database 163, historical snapshots of database records may be available at initiation of a monitoring by the user 164.
Next, at block 302, database records as indicated by the triggers are accessed or received. In one embodiment, the database records are maintained and may be accessed from the records database 162. In some embodiments, database records are obtained from a combination of data sources, such as the records database 162, users 164, data sources 166, and/or one or more other data sources, and the data is maintained and saved by the computing system 100. In some embodiments, new data is obtained in real time when a user request is received, or when a periodic determination of triggers is performed.
An example of a current database record 400 stored in records database 162 is illustrated in
Current database record 400 further comprises an entry date field 403 identifying the date on which the current database record 400 was stored. In the example shown, the entry date field 403 has a value of “7/31/2007.” The current database record 400 may represent the most recent information corresponding to that database record (e.g., the person represented by the database record). As described above, data may be obtained in real time when a user request is made or when indicated by a predetermined schedule according to certain embodiments. Current database record 400 further comprises other information as indicated in
Referring again to the process 300 in
At block 304, the historical data, such as the historical database record 410, is compared to the current data, such as the current database record 400, such as by the trigger module 150 of the computing system 100 (
As mentioned above, advantageously, logging updates to the records database 162 (e.g., storing historical data records in historical database 163) speeds up later evaluation of triggers. For example, as described below, triggers may be evaluated against record changes (as indicated by a comparison of current and historical database records), and may not need to be evaluated against the records database 162 as a whole. This aspect may significantly reduce processing power needed to generate event notifications.
Returning to
As an example, the system may compare the current record 400 with the historical record 410 (e.g., at block 304), and the trigger module 150 may determine that the database record has been updated. Accordingly, the system may execute one or more triggers. If it is determined that the comparison is indicative of certain types of updates, and one or more triggers were activated, then the process 300 continues to block 306. If the comparison at block 304 is not determined to be indicative of certain types of updates at block 305, then the process 300 skips block 306 and proceeds to block 307.
At block 306, a user 164 that has requested alerts for certain triggers is notified. Notification may come in the form of a report, an e-mail, an automatically generated letter, or any other format that informs the user of the event (as described above). The alert may include specific information related to the database record, may indicate only that a particular trigger has been activated, or may simply indicate the changed record information. After the alert has been generated, the process 300 proceeds to block 307.
At block 307, the system waits until the next comparison event. For example, database records may be compared once every month, whenever the database is updated (e.g., database records are updates), when a user requests information, or at some other time or according to another schedule.
In an alternate embodiment, the trigger module 150 performs a different process 500 as shown in
In some implementations, a score check may improve the predictive accuracy of the alerts. For example, if 1,000 updated database records meet the trigger criteria at block 505, the score check at block 506 may reduce the number of qualifying records to, for example, 500. The alerts sent to the user at block 507 may include these 500 records. While the number of records is reduced, the user's likelihood to get useful information from these alerts is increased because the alerts are more specifically targeted.
In some embodiments, the database system provides automatic updates to each of a plurality of subscriber entities on a periodic basis, such as on a daily basis. For example, in one embodiment the database system accesses the list of individuals of interest for each of a plurality of subscriber entities nightly, performing one of the processes described above for identifying trigger indicators of interest to the respective subscriber entities. For example, for a first subscriber entity, 10,000 individuals may be provided on a monitoring list for the first subscriber entity. Thus, the database system would access any update data for each of those 10,000 individuals daily and determine if one or more trigger indicators for any of the 10,000 individuals has been triggered. In some embodiments, the database system then generates a report to the subscriber entity providing any updated triggered notifications. For example, with reference to the first subscriber entity noted above, the database system may, on a particular day when the trigger indicators are applied to the 10,000 individuals, determine that 125 of those individuals have updated data associated with them matching the trigger indicators. Thus, in one embodiment those 125 individuals have very recently (e.g., within the previous day) had activity associated with them that is of interest to the subscriber entity (e.g., the individuals may have opened new loans, which indicates to the subscriber entity a change in ability to pay). Accordingly, the database system may generate a “hot list” or “daily contact list”, listing the 25 individuals, perhaps along with contact information and information about the updated data item(s) that matched the trigger indicator, and provide that list to the subscriber entity so the subscriber entity can take immediate action. For example, the database system may transmit the list of daily updates to individuals matching trigger indicators each morning so the subscriber entity can contact those individuals, such as seeking payment on past due accounts, as quickly as possible. As noted above, the database system can provide realtime alerts of changes in data items matching trigger indicators, optionally in conjunction with a daily (or weekly, or monthly, etc.) report such as discussed above.
In an implementation, the database system is used to rapidly notify a creditor (“user”) of changes in the database records associated with debtors (“consumers”), e.g., based on certain triggers. The user may be particularly interested in rapid notification because being first to contact a consumer in the event of a change in the consumer's circumstances may greatly increase the chances of collecting on a debt. In this implementation, certain triggering events may be particularly useful in recovering long overdue debt. These may include, for example, a new mortgage loan, a new auto lease, a new retail loan, a new auto loan, an update to employment information, a new installment loan, a new bank card, a new credit card, new phone information, new address information, and/or the like. In this implementation, as also described above, the system may continuously monitor changes to database records and automatically “push” notifications to the user when a triggering event occurs, enabling rapid and timely notification. The combination of these features may enable the user to be the first (e.g., among a number of creditors) to contact a consumer, increasing a likelihood of successfully obtaining payment. Further, various implementations of the system enable a user to focus resources on consumers that are more likely to pay a debt (e.g., those with recent triggering events). The user may advantageously populate notification information into their own system, enabling a person to quickly review the notification and act on the notification. Further, the user may generate, e.g., a daily report of notifications that may then be prioritized by the user for acting on. Yet further, the notifications and associated information may be provided in a format preferred or specified by the user, enabling further efficiencies in acting on the triggering events. Further, the user may monitor a return on investment in the system by evaluating the cost of running the triggers and receiving the notification in relation to the success of obtaining payments for debts, for example. This feedback may also be used to focus in on particular triggers that provide a greater return on investment than others. Such feedback may be automatically performed by the system to iteratively generate notifications that are more and more valuable and more and more timely. In some instances, users have found a return on investment of $72 for each $1 spent on receiving notifications from the database system. Users have also found that use of the database system greatly increases revenue.
Accordingly, a system is described for monitoring database records over a period of time. When it is determined that a trigger indicator is satisfied, as defined by a user, the user is advantageously alerted to this update.
While the above systems and methods have been described with reference to certain types of database record updates, it will be understood that the invention is not limited to monitoring only these types of updates. Other types of data records may be monitored as described herein, and other rules or triggers may be implemented in order to generate alerts for other types of updates.
Various embodiments of the present disclosure may be a system, a method, and/or a computer program product at any possible technical detail level of integration. The computer program product may include a computer readable storage medium (or mediums) having computer readable program instructions thereon for causing a processor to carry out aspects of the present disclosure.
For example, the functionality described herein may be performed as software instructions are executed by, and/or in response to software instructions being executed by, one or more hardware processors and/or any other suitable computing devices. The software instructions and/or other executable code may be read from a computer readable storage medium (or mediums).
The computer readable storage medium can be a tangible device that can retain and store data and/or instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device (including any volatile and/or non-volatile electronic storage devices), a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a solid state drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.
Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.
Computer readable program instructions (as also referred to herein as, for example, “code,” “instructions,” “module,” “application,” “software application,” and/or the like) for carrying out operations of the present disclosure may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, configuration data for integrated circuitry, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++, or the like, and procedural programming languages, such as the “C” programming language or similar programming languages. Computer readable program instructions may be callable from other instructions or from itself, and/or may be invoked in response to detected events or interrupts. Computer readable program instructions configured for execution on computing devices may be provided on a computer readable storage medium, and/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) that may then be stored on a computer readable storage medium. Such computer readable program instructions may be stored, partially or fully, on a memory device (e.g., a computer readable storage medium) of the executing computing device, for execution by the computing device. The computer readable program instructions may execute entirely on a user's computer (e.g., the executing computing device), partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.
Aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart(s) and/or block diagram(s) block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks. For example, the instructions may initially be carried on a magnetic disk or solid state drive of a remote computer. The remote computer may load the instructions and/or modules into its dynamic memory and send the instructions over a telephone, cable, or optical line using a modem. A modem local to a server computing system may receive the data on the telephone/cable/optical line and use a converter device including the appropriate circuitry to place the data on a bus. The bus may carry the data to a memory, from which a processor may retrieve and execute the instructions. The instructions received by the memory may optionally be stored on a storage device (e.g., a solid state drive) either before or after execution by the computer processor.
The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the blocks may occur out of the order noted in the Figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In addition, certain 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.
It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions. For example, any of the processes, methods, algorithms, elements, blocks, applications, or other functionality (or portions of functionality) described in the preceding sections may be embodied in, and/or fully or partially automated via, electronic hardware such application-specific processors (e.g., application-specific integrated circuits (ASICs)), programmable processors (e.g., field programmable gate arrays (FPGAs)), application-specific circuitry, and/or the like (any of which may also combine custom hard-wired logic, logic circuits, ASICs, FPGAs, etc. with custom programming/execution of software instructions to accomplish the techniques).
Any of the above-mentioned processors, and/or devices incorporating any of the above-mentioned processors, may be referred to herein as, for example, “computers,” “computer devices,” “computing devices,” “hardware computing devices,” “hardware processors,” “processing units,” and/or the like. Computing devices of the above-embodiments may generally (but not necessarily) be controlled and/or coordinated by operating system software, such as Mac OS, iOS, Android, Chrome OS, Windows OS (e.g., Windows XP, Windows Vista, Windows 7, Windows 8, Windows 10, Windows Server, etc.), Windows CE, Unix, Linux, SunOS, Solaris, Blackberry OS, VxWorks, or other suitable operating systems. In other embodiments, the computing devices 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.
As described above, in various embodiments certain functionality may be accessible by a user through a web-based viewer (such as a web browser), or other suitable software program). In such implementations, the user interface may be generated by a server computing system and transmitted to a web browser of the user (e.g., running on the user's computing system). Alternatively, data (e.g., user interface data) necessary for generating the user interface may be provided by the server computing system to the browser, where the user interface may be generated (e.g., the user interface data may be executed by a browser accessing a web service and may be configured to render the user interfaces based on the user interface data). The user may then interact with the user interface through the web-browser. User interfaces of certain implementations may be accessible through one or more dedicated software applications. In certain embodiments, one or more of the computing devices and/or systems of the disclosure may include mobile computing devices, and user interfaces may be accessible through such mobile computing devices (for example, smartphones and/or tablets).
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. It will be appreciated, however, that no matter how detailed the foregoing appears in text, the systems and methods 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 systems and methods 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 systems and methods with which that terminology is associated.
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.
Conjunctive language such as the phrase “at least one of X, Y, and Z,” or “at least one of X, Y, or Z,” unless specifically stated otherwise, is to be understood with the context as used in general to convey that an item, term, etc. may be either X, Y, or Z, or a combination thereof. For example, 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. 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.
The term “a” as used herein should be given an inclusive rather than exclusive interpretation. For example, unless specifically noted, the term “a” should not be understood to mean “exactly one” or “one and only one”; instead, the term “a” means “one or more” or “at least one,” whether used in the claims or elsewhere in the specification and regardless of uses of quantifiers such as “at least one,” “one or more,” or “a plurality” elsewhere in the claims or specification.
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.
While the above detailed description has shown, described, and pointed out novel features as applied to various embodiments, it may be understood that various omissions, substitutions, and changes in the form and details of the devices or processes illustrated may be made without departing from the spirit of the disclosure. As may be recognized, certain embodiments of the inventions described herein may be embodied within a form that does not provide all of the features and benefits set forth herein, as some features may be used or practiced separately from others. The scope of certain inventions disclosed herein is indicated by the appended claims rather than by the foregoing description. All changes which come within the meaning and range of equivalency of the claims are to be embraced within their scope.
This application is a continuation of U.S. patent application Ser. No. 16/692,786, filed Nov. 22, 2019, and titled “DATABASE SYSTEM FOR TRIGGERING EVENT NOTIFICATIONS BASED ON UPDATES TO DATABASE RECORDS”, which issued as U.S. Pat. No. 11,347,715, which is a continuation of U.S. patent application Ser. No. 15/601,286, filed May 22, 2017, and titled “DATABASE SYSTEM FOR TRIGGERING EVENT NOTIFICATIONS BASED ON UPDATES TO DATABASE RECORDS,” which issued as U.S. Pat. No. 10,528,545, which is a continuation of U.S. patent application Ser. No. 15/089,241, filed Apr. 1, 2016, and titled “DATABASE SYSTEM FOR TRIGGERING EVENT NOTIFICATIONS BASED ON UPDATES TO DATABASE RECORDS,” which issued as U.S. Pat. No. 9,690,820, which is a continuation-in-part of U.S. patent application Ser. No. 12/239,647, filed Sep. 26, 2008, and titled “SYSTEMS AND METHODS FOR MONITORING FINANCIAL ACTIVITIES OF CONSUMERS,” which claims benefit of U.S. Provisional Patent Application No. 60/975,754, filed Sep. 27, 2007, and titled “SYSTEMS AND METHODS FOR MONITORING CREDIT ACTIVITY CHANGES AND GENERATING ALERTS.” U.S. patent application Ser. No. 15/089,241 claims benefit of U.S. Provisional Patent Application No. 62/316,399, filed Mar. 31, 2016, and titled “DATABASE SYSTEM FOR TRIGGERING EVENT NOTIFICATIONS BASED ON UPDATES TO DATABASE RECORDS.” The entire disclosure of each of the above items is hereby made part of this specification as if set forth fully herein and incorporated by reference for all purposes, for all that it contains. Any and all applications for which a foreign or domestic priority claim is identified in the Application Data Sheet as filed with the present application are hereby incorporated by reference under 37 CFR 1.57.
Number | Name | Date | Kind |
---|---|---|---|
3316395 | Lavin et al. | Apr 1967 | A |
4305059 | Benton | Dec 1981 | A |
4578530 | Zeidler | Mar 1986 | A |
4736294 | Gill | Apr 1988 | A |
4774664 | Campbell et al. | Sep 1988 | A |
4775935 | Yourick | Oct 1988 | A |
4827508 | Shear | May 1989 | A |
4868570 | Davis | Sep 1989 | A |
4872113 | Dinerstein | Oct 1989 | A |
4876592 | Von Kohorn | Oct 1989 | A |
4891503 | Jewell | Jan 1990 | A |
4895518 | Arnold | Jan 1990 | A |
4935870 | Burk, Jr. et al. | Jun 1990 | A |
4947028 | Gorog | Aug 1990 | A |
5013038 | Luxenberg et al. | May 1991 | A |
5025138 | Cuervo | Jun 1991 | A |
5025373 | Keyser, Jr. et al. | Jun 1991 | A |
5034807 | Von Kohorn | Jul 1991 | A |
5056019 | Schultz et al. | Oct 1991 | A |
5060153 | Nakagawa | Oct 1991 | A |
5148365 | Dembo | Sep 1992 | A |
5220501 | Lawlor et al. | Jun 1993 | A |
5239462 | Jones et al. | Aug 1993 | A |
5247575 | Sprague et al. | Sep 1993 | A |
5259766 | Sack | Nov 1993 | A |
5262941 | Saladin | Nov 1993 | A |
5274547 | Zoffel et al. | Dec 1993 | A |
5317636 | Vizcaino | May 1994 | A |
5317733 | Murdock | May 1994 | A |
5325509 | Lautzenheiser | Jun 1994 | A |
5336870 | Hughes et al. | Aug 1994 | A |
5341429 | Stringer et al. | Aug 1994 | A |
5361201 | Jost et al. | Nov 1994 | A |
5521813 | Fox et al. | May 1996 | A |
5528701 | Aref | Jun 1996 | A |
5555409 | Leenstra, Sr. et al. | Sep 1996 | A |
5583763 | Atcheson et al. | Dec 1996 | A |
5590038 | Pitroda | Dec 1996 | A |
5592560 | Deaton et al. | Jan 1997 | A |
5611052 | Dykstra et al. | Mar 1997 | A |
5615408 | Johnson | Mar 1997 | A |
5630127 | Moore et al. | May 1997 | A |
5640551 | Chu et al. | Jun 1997 | A |
5640577 | Scharmer | Jun 1997 | A |
5649114 | Deaton et al. | Jul 1997 | A |
5655129 | Ito | Aug 1997 | A |
5659725 | Levy et al. | Aug 1997 | A |
5659731 | Gustafson | Aug 1997 | A |
5666528 | Thai | Sep 1997 | A |
5692107 | Simoudis et al. | Nov 1997 | A |
5696907 | Tom | Dec 1997 | A |
5699527 | Davidson | Dec 1997 | A |
5704029 | Wright, Jr. | Dec 1997 | A |
5708422 | Blonder et al. | Jan 1998 | A |
5732400 | Mandler | Mar 1998 | A |
5737732 | Gibson et al. | Apr 1998 | A |
5745654 | Titan | Apr 1998 | A |
5745706 | Wolfberg et al. | Apr 1998 | A |
5748098 | Grace | May 1998 | A |
5754938 | Herz et al. | May 1998 | A |
5768423 | Aref et al. | Jun 1998 | A |
5774692 | Boyer et al. | Jun 1998 | A |
5774883 | Andersen | Jun 1998 | A |
5778405 | Ogawa | Jul 1998 | A |
5793972 | Shane | Aug 1998 | A |
5797136 | Boyer et al. | Aug 1998 | A |
5802142 | Browne | Sep 1998 | A |
5812840 | Shwartz | Sep 1998 | A |
5819226 | Gopinathan et al. | Oct 1998 | A |
5822410 | McCausland et al. | Oct 1998 | A |
5822750 | Jou et al. | Oct 1998 | A |
5822751 | Gray et al. | Oct 1998 | A |
5835915 | Carr et al. | Nov 1998 | A |
5844218 | Kawan et al. | Dec 1998 | A |
5857174 | Dugan | Jan 1999 | A |
5870721 | Norris | Feb 1999 | A |
5875236 | Jankowitz | Feb 1999 | A |
5878403 | DeFrancesco | Mar 1999 | A |
5881131 | Farris et al. | Mar 1999 | A |
5884287 | Edesess | Mar 1999 | A |
5905985 | Malloy et al. | May 1999 | A |
5914472 | Foladare et al. | Jun 1999 | A |
5918217 | Maggioncalda et al. | Jun 1999 | A |
5924082 | Silverman et al. | Jul 1999 | A |
5926800 | Baronowski et al. | Jul 1999 | A |
5930764 | Melchione et al. | Jul 1999 | A |
5930776 | Dykstra et al. | Jul 1999 | A |
5933813 | Teicher et al. | Aug 1999 | A |
5940812 | Tengel et al. | Aug 1999 | A |
5950172 | Klingman | Sep 1999 | A |
5950179 | Buchanan et al. | Sep 1999 | A |
5953707 | Huang et al. | Sep 1999 | A |
5953710 | Fleming | Sep 1999 | A |
5956693 | Geerlings | Sep 1999 | A |
5963932 | Jakobsson et al. | Oct 1999 | A |
5966695 | Melchione et al. | Oct 1999 | A |
5970478 | Walker et al. | Oct 1999 | A |
5974396 | Anderson et al. | Oct 1999 | A |
5978780 | Watson | Nov 1999 | A |
5991411 | Kaufman et al. | Nov 1999 | A |
5995947 | Fraser et al. | Nov 1999 | A |
6009415 | Shurling et al. | Dec 1999 | A |
6012044 | Maggioncalda et al. | Jan 2000 | A |
6014645 | Cunningham | Jan 2000 | A |
6018723 | Siegel et al. | Jan 2000 | A |
6021397 | Jones et al. | Feb 2000 | A |
6029149 | Dykstra et al. | Feb 2000 | A |
6029178 | Martin et al. | Feb 2000 | A |
6038551 | Barlow et al. | Mar 2000 | A |
6044357 | Garg | Mar 2000 | A |
6055570 | Nielsen | Apr 2000 | A |
6064987 | Walker | May 2000 | A |
6064990 | Goldsmith | May 2000 | A |
6070141 | Houvener | May 2000 | A |
6070147 | Harms et al. | May 2000 | A |
6073140 | Morgan et al. | Jun 2000 | A |
6078922 | Johnson et al. | Jun 2000 | A |
6088686 | Walker et al. | Jul 2000 | A |
6094643 | Anderson et al. | Jul 2000 | A |
6098052 | Kosiba et al. | Aug 2000 | A |
6105007 | Norris | Aug 2000 | A |
6115690 | Wong | Sep 2000 | A |
6115694 | Cheetham et al. | Sep 2000 | A |
6119103 | Basch et al. | Sep 2000 | A |
6121901 | Welch et al. | Sep 2000 | A |
6128599 | Walker | Oct 2000 | A |
6128603 | Dent | Oct 2000 | A |
6128624 | Papierniak et al. | Oct 2000 | A |
6144948 | Walker et al. | Nov 2000 | A |
6144957 | Cohen et al. | Nov 2000 | A |
6151601 | Papierniak et al. | Nov 2000 | A |
6154729 | Cannon et al. | Nov 2000 | A |
6182060 | Hedgcock et al. | Jan 2001 | B1 |
6182229 | Nielsen | Jan 2001 | B1 |
6185543 | Galperin et al. | Feb 2001 | B1 |
6199077 | Inala et al. | Mar 2001 | B1 |
6202053 | Christiansen et al. | Mar 2001 | B1 |
6223171 | Chaudhuri et al. | Apr 2001 | B1 |
6249770 | Erwin et al. | Jun 2001 | B1 |
6253203 | O'Flaherty et al. | Jun 2001 | B1 |
6256630 | Gilai et al. | Jul 2001 | B1 |
6263334 | Fayyad et al. | Jul 2001 | B1 |
6263337 | Fayyad et al. | Jul 2001 | B1 |
6269325 | Lee et al. | Jul 2001 | B1 |
6275824 | O'Flaherty et al. | Aug 2001 | B1 |
6285987 | Roth et al. | Sep 2001 | B1 |
6298348 | Eldering | Oct 2001 | B1 |
6304860 | Martin et al. | Oct 2001 | B1 |
6304869 | Moore et al. | Oct 2001 | B1 |
6311169 | Duhon | Oct 2001 | B2 |
6317783 | Freishtat et al. | Nov 2001 | B1 |
6321205 | Eder | Nov 2001 | B1 |
6324524 | Lent et al. | Nov 2001 | B1 |
6330546 | Gopinathan et al. | Dec 2001 | B1 |
6330575 | Moore et al. | Dec 2001 | B1 |
6334110 | Walter et al. | Dec 2001 | B1 |
6339769 | Cochrane et al. | Jan 2002 | B1 |
6339790 | Inoue | Jan 2002 | B1 |
6343279 | Bissonette et al. | Jan 2002 | B1 |
6366903 | Agrawal et al. | Apr 2002 | B1 |
6374230 | Walker et al. | Apr 2002 | B1 |
6374264 | Bohannon et al. | Apr 2002 | B1 |
6384844 | Stewart et al. | May 2002 | B1 |
6385594 | Lebda et al. | May 2002 | B1 |
6386444 | Sullivan | May 2002 | B1 |
6393406 | Eder | May 2002 | B1 |
6397224 | Zubeldia et al. | May 2002 | B1 |
6405173 | Honarvar | Jun 2002 | B1 |
6405181 | Lent et al. | Jun 2002 | B2 |
6430539 | Lazarus et al. | Aug 2002 | B1 |
6456979 | Flagg | Sep 2002 | B1 |
6460036 | Herz | Oct 2002 | B1 |
6477509 | Hammons et al. | Nov 2002 | B1 |
6487540 | Smith et al. | Nov 2002 | B1 |
6496819 | Bello et al. | Dec 2002 | B1 |
5870721 | Norris | Jan 2003 | C1 |
6513018 | Culhane | Jan 2003 | B1 |
6523022 | Hobbs | Feb 2003 | B1 |
6523041 | Morgan et al. | Feb 2003 | B1 |
6529880 | McKeen et al. | Mar 2003 | B1 |
6532450 | Brown et al. | Mar 2003 | B1 |
6542894 | Lee et al. | Apr 2003 | B1 |
6556979 | Liu et al. | Apr 2003 | B1 |
6567791 | Lent et al. | May 2003 | B2 |
6574623 | Laung et al. | Jun 2003 | B1 |
6581075 | Guturu et al. | Jun 2003 | B1 |
6597775 | Lawyer et al. | Jul 2003 | B2 |
6598030 | Siegel et al. | Jul 2003 | B1 |
6611816 | Lebda et al. | Aug 2003 | B2 |
6622131 | Brown et al. | Sep 2003 | B1 |
6622266 | Goddard et al. | Sep 2003 | B1 |
6629245 | Stone et al. | Sep 2003 | B1 |
6631496 | Li et al. | Oct 2003 | B1 |
6636803 | Hartz, Jr. et al. | Oct 2003 | B1 |
6651220 | Penteroudakis et al. | Nov 2003 | B1 |
6658393 | Basch et al. | Dec 2003 | B1 |
6703930 | Skinner | Mar 2004 | B2 |
6745938 | Sullivan | Jun 2004 | B2 |
6766327 | Morgan, Jr. et al. | Jul 2004 | B2 |
6782390 | Lee et al. | Aug 2004 | B2 |
6804346 | Mewhinney | Oct 2004 | B1 |
6804701 | Muret et al. | Oct 2004 | B2 |
6805287 | Bishop et al. | Oct 2004 | B2 |
6823319 | Lynch et al. | Nov 2004 | B1 |
6829596 | Frazee | Dec 2004 | B1 |
6832229 | Reed | Dec 2004 | B2 |
6839682 | Blume et al. | Jan 2005 | B1 |
6839690 | Foth et al. | Jan 2005 | B1 |
6842782 | Malik et al. | Jan 2005 | B1 |
6847942 | Land et al. | Jan 2005 | B1 |
6850606 | Lawyer et al. | Feb 2005 | B2 |
6873972 | Marcial et al. | Mar 2005 | B1 |
6873979 | Fishman et al. | Mar 2005 | B2 |
6901406 | Nabe et al. | May 2005 | B2 |
6910624 | Natsuno | Jun 2005 | B1 |
6912483 | Frederick | Jun 2005 | B2 |
6950807 | Brock | Sep 2005 | B2 |
6962336 | Glass | Nov 2005 | B2 |
6983478 | Grauch et al. | Jan 2006 | B1 |
6985887 | Sunstein et al. | Jan 2006 | B1 |
6988085 | Hedy | Jan 2006 | B2 |
6993510 | Guy et al. | Jan 2006 | B2 |
7003476 | Samra et al. | Feb 2006 | B1 |
7003504 | Angus et al. | Feb 2006 | B1 |
7003792 | Yuen | Feb 2006 | B1 |
7013310 | Messing et al. | Mar 2006 | B2 |
7016870 | Jones et al. | Mar 2006 | B1 |
7028052 | Chapman et al. | Apr 2006 | B2 |
7039607 | Watarai et al. | May 2006 | B2 |
7047251 | Reed et al. | May 2006 | B2 |
7058817 | Ellmore | Jun 2006 | B1 |
7062458 | Maggioncalda et al. | Jun 2006 | B2 |
7065566 | Menard et al. | Jun 2006 | B2 |
7069249 | Stolfo et al. | Jun 2006 | B2 |
7076462 | Nelson et al. | Jul 2006 | B1 |
7076475 | Honarvar et al. | Jul 2006 | B2 |
7082435 | Guzman et al. | Jul 2006 | B1 |
7083087 | Gangi | Aug 2006 | B1 |
7107249 | Dively et al. | Sep 2006 | B2 |
7117172 | Black | Oct 2006 | B1 |
7120599 | Keyes | Oct 2006 | B2 |
7136448 | Venkataperumal et al. | Nov 2006 | B1 |
7143063 | Lent | Nov 2006 | B2 |
7165037 | Lazarus et al. | Jan 2007 | B2 |
7184974 | Shishido | Feb 2007 | B2 |
7185016 | Rasmussen | Feb 2007 | B1 |
7200602 | Jonas | Apr 2007 | B2 |
7213064 | Smith et al. | May 2007 | B2 |
7229006 | Babbi et al. | Jun 2007 | B2 |
7240059 | Bayliss et al. | Jul 2007 | B2 |
7243075 | Shaffer et al. | Jul 2007 | B1 |
7249048 | O'Flaherty | Jul 2007 | B1 |
7249076 | Pendleton et al. | Jul 2007 | B1 |
7249113 | Continelli et al. | Jul 2007 | B1 |
7254558 | Hinkle et al. | Aug 2007 | B2 |
7263497 | Wiser et al. | Aug 2007 | B1 |
7277869 | Starkman | Oct 2007 | B2 |
7277900 | Ganesh et al. | Oct 2007 | B1 |
7280980 | Hoadley et al. | Oct 2007 | B1 |
7280983 | Kuroda et al. | Oct 2007 | B2 |
7296734 | Pliha | Nov 2007 | B2 |
7302420 | Aggarwal et al. | Nov 2007 | B2 |
7308417 | Nathan | Dec 2007 | B1 |
7314166 | Anderson et al. | Jan 2008 | B2 |
7318224 | Honarvar et al. | Jan 2008 | B2 |
7330835 | Deggendorf | Feb 2008 | B2 |
7333635 | Tsantes et al. | Feb 2008 | B2 |
7333937 | Baldwin, Jr. et al. | Feb 2008 | B2 |
7337133 | Bezos et al. | Feb 2008 | B1 |
7337468 | Metzger | Feb 2008 | B2 |
7340434 | Schnall | Mar 2008 | B2 |
7343295 | Pomerance | Mar 2008 | B2 |
7356503 | Johnson et al. | Apr 2008 | B1 |
7366694 | Lazerson | Apr 2008 | B2 |
7367011 | Ramsey et al. | Apr 2008 | B2 |
7370044 | Mulhern et al. | May 2008 | B2 |
7376603 | Mayr et al. | May 2008 | B1 |
7383215 | Navarro et al. | Jun 2008 | B1 |
7383227 | Weinflash et al. | Jun 2008 | B2 |
7383988 | Slonecker, Jr. | Jun 2008 | B2 |
7386466 | McLean et al. | Jun 2008 | B2 |
7392221 | Nabe et al. | Jun 2008 | B2 |
7395232 | Pilato | Jul 2008 | B1 |
7403919 | Chacko et al. | Jul 2008 | B2 |
7403942 | Bayliss | Jul 2008 | B1 |
7409369 | Homuth et al. | Aug 2008 | B1 |
7418417 | Chacko et al. | Aug 2008 | B2 |
7428509 | Klebanoff | Sep 2008 | B2 |
7433855 | Gavan et al. | Oct 2008 | B2 |
7451095 | Bradley et al. | Nov 2008 | B1 |
7458508 | Shao et al. | Dec 2008 | B1 |
7464067 | Chestnut | Dec 2008 | B2 |
7467127 | Baccash et al. | Dec 2008 | B1 |
7479949 | Jobs et al. | Jan 2009 | B2 |
7480631 | Merced et al. | Jan 2009 | B1 |
7505939 | Lent et al. | Mar 2009 | B2 |
7529698 | Joao | May 2009 | B2 |
7536346 | Aliffi et al. | May 2009 | B2 |
7542993 | Satterfield et al. | Jun 2009 | B2 |
7543739 | Brown et al. | Jun 2009 | B2 |
7546266 | Beirne et al. | Jun 2009 | B2 |
7552086 | Rajasekar et al. | Jun 2009 | B1 |
7556192 | Wokaty, Jr. | Jul 2009 | B2 |
7559217 | Bass | Jul 2009 | B2 |
7562184 | Henmi et al. | Jul 2009 | B2 |
7580884 | Cook | Aug 2009 | B2 |
7584146 | Duhon | Sep 2009 | B1 |
7593891 | Kornegay et al. | Sep 2009 | B2 |
7593892 | Balk et al. | Sep 2009 | B2 |
7596512 | Raines et al. | Sep 2009 | B1 |
7596716 | Frost et al. | Sep 2009 | B2 |
7603317 | Adler et al. | Oct 2009 | B2 |
7610229 | Kornegay | Oct 2009 | B1 |
7620592 | O'Mara et al. | Nov 2009 | B2 |
7624068 | Heasley et al. | Nov 2009 | B1 |
7630932 | Danaher et al. | Dec 2009 | B2 |
7653592 | Flaxman et al. | Jan 2010 | B1 |
7653593 | Zarikian et al. | Jan 2010 | B2 |
7668769 | Baker et al. | Feb 2010 | B2 |
7668840 | Bayliss et al. | Feb 2010 | B2 |
7672865 | Kumar et al. | Mar 2010 | B2 |
7676418 | Chung et al. | Mar 2010 | B1 |
7686214 | Shao et al. | Mar 2010 | B1 |
7689451 | Vives | Mar 2010 | B2 |
7689505 | Kasower | Mar 2010 | B2 |
7689506 | Fei et al. | Mar 2010 | B2 |
7698163 | Reed et al. | Apr 2010 | B2 |
7707059 | Reed et al. | Apr 2010 | B2 |
7708196 | Palmieri et al. | May 2010 | B2 |
7711635 | Steele et al. | May 2010 | B2 |
7711636 | Robida et al. | May 2010 | B2 |
7720750 | Brody | May 2010 | B2 |
7725300 | Pinto et al. | May 2010 | B2 |
7725385 | Royer et al. | May 2010 | B2 |
7729983 | Ellis | Jun 2010 | B1 |
7734522 | Johnson et al. | Jun 2010 | B2 |
7734523 | Cui et al. | Jun 2010 | B1 |
7742982 | Chaudhuri et al. | Jun 2010 | B2 |
7747480 | Agresta et al. | Jun 2010 | B1 |
7756789 | Welker et al. | Jul 2010 | B2 |
7761379 | Zoldi et al. | Jul 2010 | B2 |
7769657 | Chacko et al. | Aug 2010 | B2 |
7774257 | Maggioncalda et al. | Aug 2010 | B2 |
7774270 | MacCloskey | Aug 2010 | B1 |
7788147 | Haggerty et al. | Aug 2010 | B2 |
7788152 | Haggerty et al. | Aug 2010 | B2 |
7788155 | Jones et al. | Aug 2010 | B2 |
7792715 | Kasower | Sep 2010 | B1 |
7792716 | Gooding et al. | Sep 2010 | B2 |
7792732 | Haggerty et al. | Sep 2010 | B2 |
7793835 | Coggeshall et al. | Sep 2010 | B1 |
7797734 | Babi et al. | Sep 2010 | B2 |
7801812 | Conlin et al. | Sep 2010 | B2 |
7814004 | Haggerty et al. | Oct 2010 | B2 |
7814005 | Imrey et al. | Oct 2010 | B2 |
7818228 | Coulter | Oct 2010 | B1 |
7818229 | Imrey et al. | Oct 2010 | B2 |
7835983 | Lefner et al. | Nov 2010 | B2 |
7836111 | Shan | Nov 2010 | B1 |
7840484 | Haggerty et al. | Nov 2010 | B2 |
7841004 | Balducci et al. | Nov 2010 | B1 |
7848987 | Haig | Dec 2010 | B2 |
7849004 | Choudhuri et al. | Dec 2010 | B2 |
7853998 | Blaisdell et al. | Dec 2010 | B2 |
7856397 | Whipple et al. | Dec 2010 | B2 |
7860782 | Cash et al. | Dec 2010 | B2 |
7873677 | Messing et al. | Jan 2011 | B2 |
7877304 | Coulter | Jan 2011 | B1 |
7890420 | Haggerty et al. | Feb 2011 | B2 |
7900052 | Joans | Mar 2011 | B2 |
7904306 | Johnson et al. | Mar 2011 | B2 |
7904367 | Chung et al. | Mar 2011 | B2 |
7908242 | Achanta | Mar 2011 | B1 |
7912770 | Haggerty et al. | Mar 2011 | B2 |
7912842 | Bayliss et al. | Mar 2011 | B1 |
7912865 | Akerman et al. | Mar 2011 | B2 |
7925578 | Hong et al. | Apr 2011 | B1 |
7925582 | Kornegay et al. | Apr 2011 | B1 |
7930252 | Bender et al. | Apr 2011 | B2 |
7937416 | Hossfeld et al. | May 2011 | B2 |
7941365 | Bradley et al. | May 2011 | B1 |
7945510 | Bradley et al. | May 2011 | B1 |
7953213 | Babi et al. | May 2011 | B2 |
7954698 | Pliha | Jun 2011 | B1 |
7966192 | Pagliari et al. | Jun 2011 | B2 |
7966255 | Wong et al. | Jun 2011 | B2 |
7970676 | Feinstein | Jun 2011 | B2 |
7970679 | Kasower | Jun 2011 | B2 |
7970698 | Gupta et al. | Jun 2011 | B2 |
7974919 | Conlin et al. | Jul 2011 | B2 |
7983975 | Jones et al. | Jul 2011 | B2 |
7987124 | Holden et al. | Jul 2011 | B1 |
7991666 | Haggerty et al. | Aug 2011 | B2 |
7991689 | Brunzell et al. | Aug 2011 | B1 |
8001034 | Chung et al. | Aug 2011 | B2 |
8001041 | Hoadley et al. | Aug 2011 | B2 |
8001042 | Brunzell et al. | Aug 2011 | B1 |
8001043 | Walker et al. | Aug 2011 | B1 |
8005738 | Chacko et al. | Aug 2011 | B2 |
8005759 | Hirtenstein et al. | Aug 2011 | B2 |
8005795 | Galipeau et al. | Aug 2011 | B2 |
8015107 | Kornegay et al. | Sep 2011 | B2 |
8024263 | Zarikian et al. | Sep 2011 | B2 |
8024264 | Chaudhuri et al. | Sep 2011 | B2 |
8024778 | Cash et al. | Sep 2011 | B2 |
8032932 | Speyer et al. | Oct 2011 | B2 |
8036979 | Torrez et al. | Oct 2011 | B1 |
8055579 | Davies et al. | Nov 2011 | B2 |
8060424 | Kasower | Nov 2011 | B2 |
8065233 | Lee et al. | Nov 2011 | B2 |
8073768 | Haggerty et al. | Dec 2011 | B2 |
8078524 | Crawford et al. | Dec 2011 | B2 |
8078527 | Cerise et al. | Dec 2011 | B2 |
8078528 | Vicente et al. | Dec 2011 | B1 |
8086523 | Palmer | Dec 2011 | B1 |
8086524 | Craig et al. | Dec 2011 | B1 |
8095443 | DeBie | Jan 2012 | B2 |
8095458 | Peterson et al. | Jan 2012 | B2 |
8099356 | Feinstein et al. | Jan 2012 | B2 |
8104679 | Brown | Jan 2012 | B2 |
8126805 | Sulkowski et al. | Feb 2012 | B2 |
8131614 | Haggerty et al. | Mar 2012 | B2 |
8135642 | Krause | Mar 2012 | B1 |
8160960 | Fei et al. | Apr 2012 | B1 |
8165940 | Meimes et al. | Apr 2012 | B2 |
8165962 | LeKachman | Apr 2012 | B1 |
8195549 | Kasower | Jun 2012 | B2 |
8204774 | Chwast et al. | Jun 2012 | B2 |
8204812 | Stewart et al. | Jun 2012 | B2 |
8225395 | Atwood et al. | Jul 2012 | B2 |
8234498 | Britti et al. | Jul 2012 | B2 |
8255971 | Webb et al. | Aug 2012 | B1 |
8260699 | Smith et al. | Sep 2012 | B2 |
8271378 | Chaudhuri et al. | Sep 2012 | B2 |
8285613 | Coulter | Oct 2012 | B1 |
8290840 | Kasower | Oct 2012 | B2 |
8296229 | Yellin et al. | Oct 2012 | B1 |
8301574 | Kilger et al. | Oct 2012 | B2 |
8311936 | Haggerty et al. | Nov 2012 | B2 |
8315942 | Haggerty et al. | Nov 2012 | B2 |
8315943 | Torrez et al. | Nov 2012 | B2 |
8321334 | Kornegay et al. | Nov 2012 | B1 |
8321339 | Imrey et al. | Nov 2012 | B2 |
8327429 | Speyer et al. | Dec 2012 | B2 |
8335741 | Kornegay et al. | Dec 2012 | B2 |
8347364 | Babi et al. | Jan 2013 | B2 |
8359278 | Domenikos et al. | Jan 2013 | B2 |
8364518 | Blake et al. | Jan 2013 | B1 |
8364588 | Celka et al. | Jan 2013 | B2 |
8386377 | Xiong et al. | Feb 2013 | B1 |
8392334 | Hirtenstein et al. | Mar 2013 | B2 |
8463595 | Rehling et al. | Jun 2013 | B1 |
8464939 | Taylor et al. | Jun 2013 | B1 |
8473353 | Matsuda et al. | Jun 2013 | B2 |
8478686 | Giles | Jul 2013 | B1 |
8489502 | Morris et al. | Jul 2013 | B2 |
8490197 | Herz | Jul 2013 | B2 |
8515844 | Kasower | Aug 2013 | B2 |
8527596 | Long et al. | Sep 2013 | B2 |
8533118 | Weller et al. | Sep 2013 | B2 |
8543498 | Silbernagel et al. | Sep 2013 | B2 |
8560161 | Kator et al. | Oct 2013 | B1 |
8560436 | Ingram et al. | Oct 2013 | B2 |
8571971 | Brown et al. | Oct 2013 | B1 |
8572083 | Snell et al. | Oct 2013 | B1 |
8589286 | Kornegay et al. | Nov 2013 | B1 |
8595101 | Daukas et al. | Nov 2013 | B1 |
8600886 | Ramavarjula et al. | Dec 2013 | B2 |
8606694 | Campbell et al. | Dec 2013 | B2 |
8626646 | Torrez et al. | Jan 2014 | B2 |
8660919 | Kasower | Feb 2014 | B2 |
8694420 | Oliai | Apr 2014 | B1 |
8712907 | Stibel et al. | Apr 2014 | B1 |
8725613 | Celka et al. | May 2014 | B1 |
8732004 | Ramos et al. | May 2014 | B1 |
8738515 | Chaudhuri et al. | May 2014 | B2 |
8738516 | Dean et al. | May 2014 | B1 |
8744956 | DiChiara et al. | Jun 2014 | B1 |
8760417 | Haug | Jun 2014 | B2 |
8762243 | Jenkins et al. | Jun 2014 | B2 |
8775299 | Achanta et al. | Jul 2014 | B2 |
8781951 | Lewis et al. | Jul 2014 | B2 |
8781953 | Kasower | Jul 2014 | B2 |
8856894 | Dean et al. | Oct 2014 | B1 |
8930216 | Johnson et al. | Jan 2015 | B1 |
8930251 | DeBie | Jan 2015 | B2 |
8930263 | Mahacek | Jan 2015 | B1 |
8930383 | Dekker et al. | Jan 2015 | B2 |
8983867 | Stibel et al. | Mar 2015 | B2 |
8996391 | Stibel et al. | Mar 2015 | B2 |
9015171 | Bayliss | Apr 2015 | B2 |
9053589 | Kator et al. | Jun 2015 | B1 |
9053590 | Kator et al. | Jun 2015 | B1 |
9058627 | Wasser et al. | Jun 2015 | B1 |
9076276 | Kator et al. | Jul 2015 | B1 |
9092616 | Kumar et al. | Jul 2015 | B2 |
9116918 | Kim | Aug 2015 | B1 |
9213461 | Eraker et al. | Dec 2015 | B2 |
9251541 | Celka et al. | Feb 2016 | B2 |
9256904 | Haller et al. | Feb 2016 | B1 |
9348896 | Faith et al. | May 2016 | B2 |
9443268 | Kapczynski et al. | Sep 2016 | B1 |
9449346 | Hockey et al. | Sep 2016 | B1 |
9558519 | Burger | Jan 2017 | B1 |
9569797 | Rohn et al. | Feb 2017 | B1 |
9595023 | Hockey et al. | Mar 2017 | B1 |
9607336 | Dean et al. | Mar 2017 | B1 |
9690820 | Girulat, Jr. | Jun 2017 | B1 |
9710852 | Olson et al. | Jul 2017 | B1 |
9824199 | Kshirsagar et al. | Nov 2017 | B2 |
9892457 | Kapczynski | Feb 2018 | B1 |
10003591 | Hockey et al. | Jun 2018 | B2 |
10104059 | Hockey et al. | Oct 2018 | B2 |
10319029 | Hockey et al. | Jun 2019 | B1 |
10380654 | Hirtenstein et al. | Aug 2019 | B2 |
10523653 | Hockey et al. | Dec 2019 | B2 |
10528545 | Girulat, Jr. | Jan 2020 | B1 |
10530761 | Hockey et al. | Jan 2020 | B2 |
10565643 | Rohn et al. | Feb 2020 | B2 |
10586279 | Ramos et al. | Mar 2020 | B1 |
10614463 | Hockey et al. | Apr 2020 | B1 |
10671749 | Felice-Steele et al. | Jun 2020 | B2 |
10726491 | Hockey et al. | Jul 2020 | B1 |
10757154 | Jacobs et al. | Aug 2020 | B1 |
10798113 | Muddu et al. | Oct 2020 | B2 |
10880313 | Manna et al. | Dec 2020 | B2 |
10937090 | Debie et al. | Mar 2021 | B1 |
10949428 | Poirel et al. | Mar 2021 | B2 |
11025629 | Chasman et al. | Jun 2021 | B2 |
11025638 | Ford et al. | Jun 2021 | B2 |
11050767 | Black et al. | Jun 2021 | B2 |
11157997 | Robida et al. | Oct 2021 | B2 |
11159593 | Jacobs et al. | Oct 2021 | B1 |
11265324 | Felice-Steele et al. | Mar 2022 | B2 |
11347715 | Girulat, Jr. | May 2022 | B2 |
11373261 | Ramos et al. | Jun 2022 | B1 |
11399029 | Manna et al. | Jul 2022 | B2 |
11410230 | Olson et al. | Aug 2022 | B1 |
11562457 | Ramos et al. | Jan 2023 | B2 |
20010011247 | O'Flaherty et al. | Aug 2001 | A1 |
20010027413 | Bhutta | Oct 2001 | A1 |
20010037332 | Miller et al. | Nov 2001 | A1 |
20010039523 | Iwamoto | Nov 2001 | A1 |
20010042785 | Walker et al. | Nov 2001 | A1 |
20010044729 | Pomerance | Nov 2001 | A1 |
20010047307 | Bennett et al. | Nov 2001 | A1 |
20010049620 | Blasko | Dec 2001 | A1 |
20020032635 | Harris et al. | Mar 2002 | A1 |
20020032645 | Nozaki et al. | Mar 2002 | A1 |
20020032647 | Delinsky et al. | Mar 2002 | A1 |
20020035511 | Haji et al. | Mar 2002 | A1 |
20020035520 | Weiss | Mar 2002 | A1 |
20020049624 | Raveis, Jr. | Apr 2002 | A1 |
20020052836 | Galperin et al. | May 2002 | A1 |
20020069122 | Yun et al. | Jun 2002 | A1 |
20020077964 | Brody et al. | Jun 2002 | A1 |
20020091650 | Ellis | Jul 2002 | A1 |
20020099628 | Takaoka et al. | Jul 2002 | A1 |
20020099641 | Mills et al. | Jul 2002 | A1 |
20020099824 | Bender et al. | Jul 2002 | A1 |
20020107765 | Walker | Aug 2002 | A1 |
20020111890 | Sloan et al. | Aug 2002 | A1 |
20020128962 | Kasower | Sep 2002 | A1 |
20020138297 | Lee | Sep 2002 | A1 |
20020138333 | DeCotiis et al. | Sep 2002 | A1 |
20020138334 | DeCotiis et al. | Sep 2002 | A1 |
20020147669 | Taylor et al. | Oct 2002 | A1 |
20020147695 | Khedkar et al. | Oct 2002 | A1 |
20020156676 | Ahrens et al. | Oct 2002 | A1 |
20020165757 | Lisser | Nov 2002 | A1 |
20020165839 | Taylor et al. | Nov 2002 | A1 |
20020169747 | Chapman et al. | Nov 2002 | A1 |
20020173984 | Robertson et al. | Nov 2002 | A1 |
20020173994 | Ferguson, III | Nov 2002 | A1 |
20020174124 | Haas et al. | Nov 2002 | A1 |
20020178146 | Akella et al. | Nov 2002 | A1 |
20020184255 | Edd et al. | Dec 2002 | A1 |
20020194103 | Nabe | Dec 2002 | A1 |
20020194117 | Nabe et al. | Dec 2002 | A1 |
20020198736 | Harrison | Dec 2002 | A1 |
20020198806 | Blagg et al. | Dec 2002 | A1 |
20020198824 | Cook | Dec 2002 | A1 |
20030009415 | Lutnick et al. | Jan 2003 | A1 |
20030009418 | Green et al. | Jan 2003 | A1 |
20030018549 | Fei et al. | Jan 2003 | A1 |
20030028477 | Stevenson et al. | Feb 2003 | A1 |
20030033231 | Turner et al. | Feb 2003 | A1 |
20030041021 | Kogler et al. | Feb 2003 | A1 |
20030041031 | Hedy | Feb 2003 | A1 |
20030046222 | Bard et al. | Mar 2003 | A1 |
20030064705 | Desierio | Apr 2003 | A1 |
20030065563 | Elliott et al. | Apr 2003 | A1 |
20030078897 | Florance et al. | Apr 2003 | A1 |
20030097380 | Mulhern et al. | May 2003 | A1 |
20030101111 | Dang et al. | May 2003 | A1 |
20030105728 | Yano et al. | Jun 2003 | A1 |
20030115122 | Slater et al. | Jun 2003 | A1 |
20030144907 | Cohen, Jr. et al. | Jul 2003 | A1 |
20030144933 | Huang | Jul 2003 | A1 |
20030149659 | Danaher et al. | Aug 2003 | A1 |
20030154162 | Danaher et al. | Aug 2003 | A1 |
20030158960 | Engberg | Aug 2003 | A1 |
20030163435 | Payone | Aug 2003 | A1 |
20030171942 | Gaito | Sep 2003 | A1 |
20030172039 | Guy | Sep 2003 | A1 |
20030177091 | Paglin | Sep 2003 | A1 |
20030187780 | Arthus et al. | Oct 2003 | A1 |
20030195830 | Merkoulovitch et al. | Oct 2003 | A1 |
20030204752 | Garrison | Oct 2003 | A1 |
20030212618 | Keyes et al. | Nov 2003 | A1 |
20030212654 | Harper et al. | Nov 2003 | A1 |
20030225729 | Maloche et al. | Dec 2003 | A1 |
20030229580 | Gass et al. | Dec 2003 | A1 |
20030236738 | Lange et al. | Dec 2003 | A1 |
20040006536 | Kawashima et al. | Jan 2004 | A1 |
20040023637 | Johnson et al. | Feb 2004 | A1 |
20040030621 | Cobb | Feb 2004 | A1 |
20040030629 | Freeman et al. | Feb 2004 | A1 |
20040030649 | Nelson et al. | Feb 2004 | A1 |
20040030667 | Xu et al. | Feb 2004 | A1 |
20040039688 | Sulkowski et al. | Feb 2004 | A1 |
20040044615 | Xue et al. | Mar 2004 | A1 |
20040044617 | Lu | Mar 2004 | A1 |
20040111292 | Hutchins | Jun 2004 | A1 |
20040111305 | Gavan et al. | Jun 2004 | A1 |
20040111358 | Lange et al. | Jun 2004 | A1 |
20040111359 | Hudock | Jun 2004 | A1 |
20040111363 | Trench et al. | Jun 2004 | A1 |
20040117302 | Weichert et al. | Jun 2004 | A1 |
20040122735 | Meshkin | Jun 2004 | A1 |
20040128150 | Lundegren | Jul 2004 | A1 |
20040128230 | Oppenheimer et al. | Jul 2004 | A1 |
20040128236 | Brown et al. | Jul 2004 | A1 |
20040133460 | Berlin et al. | Jul 2004 | A1 |
20040133493 | Ford et al. | Jul 2004 | A1 |
20040138935 | Johnson et al. | Jul 2004 | A1 |
20040138995 | Hershkowitz et al. | Jul 2004 | A1 |
20040143546 | Wood et al. | Jul 2004 | A1 |
20040153437 | Buchan | Aug 2004 | A1 |
20040153448 | Cheng et al. | Aug 2004 | A1 |
20040158520 | Noh | Aug 2004 | A1 |
20040158521 | Newton | Aug 2004 | A1 |
20040158723 | Root | Aug 2004 | A1 |
20040159700 | Khan et al. | Aug 2004 | A1 |
20040177030 | Shoham | Sep 2004 | A1 |
20040186807 | Nathans et al. | Sep 2004 | A1 |
20040193535 | Barazesh | Sep 2004 | A1 |
20040199456 | Flint et al. | Oct 2004 | A1 |
20040199462 | Starrs | Oct 2004 | A1 |
20040205157 | Bibelnieks et al. | Oct 2004 | A1 |
20040215553 | Gang et al. | Oct 2004 | A1 |
20040215584 | Yao | Oct 2004 | A1 |
20040220896 | Finlay et al. | Nov 2004 | A1 |
20040225596 | Kemper et al. | Nov 2004 | A1 |
20040230534 | McGough | Nov 2004 | A1 |
20040243450 | Bernard, Jr. et al. | Dec 2004 | A1 |
20040243506 | Das | Dec 2004 | A1 |
20040243588 | Tanner et al. | Dec 2004 | A1 |
20040249532 | Kelly et al. | Dec 2004 | A1 |
20040255127 | Arnouse | Dec 2004 | A1 |
20040267818 | Hartenstine | Dec 2004 | A1 |
20050004805 | Srinivasan | Jan 2005 | A1 |
20050004855 | Jenson et al. | Jan 2005 | A1 |
20050010513 | Duckworth et al. | Jan 2005 | A1 |
20050027632 | Zeitoun et al. | Feb 2005 | A1 |
20050027633 | Fortuna et al. | Feb 2005 | A1 |
20050038726 | Salomon et al. | Feb 2005 | A1 |
20050055275 | Newman et al. | Mar 2005 | A1 |
20050080697 | Foss et al. | Apr 2005 | A1 |
20050080716 | Belyi et al. | Apr 2005 | A1 |
20050080821 | Breil et al. | Apr 2005 | A1 |
20050086126 | Patterson | Apr 2005 | A1 |
20050086176 | Dahlgren | Apr 2005 | A1 |
20050096950 | Caplan et al. | May 2005 | A1 |
20050097017 | Hanratty | May 2005 | A1 |
20050097039 | Kulcsar et al. | May 2005 | A1 |
20050097320 | Golan et al. | May 2005 | A1 |
20050102206 | Savasoglu et al. | May 2005 | A1 |
20050102226 | Oppenheimer et al. | May 2005 | A1 |
20050105719 | Huda | May 2005 | A1 |
20050125291 | Demkiw Grayson et al. | Jun 2005 | A1 |
20050125350 | Tidwell et al. | Jun 2005 | A1 |
20050130704 | McParland et al. | Jun 2005 | A1 |
20050137963 | Ricketts et al. | Jun 2005 | A1 |
20050144067 | Farahat et al. | Jun 2005 | A1 |
20050154617 | Ruggieri et al. | Jul 2005 | A1 |
20050154664 | Guy et al. | Jul 2005 | A1 |
20050154769 | Eckart et al. | Jul 2005 | A1 |
20050159996 | Lazaraus et al. | Jul 2005 | A1 |
20050197953 | Broadbent et al. | Sep 2005 | A1 |
20050197954 | Maitland et al. | Sep 2005 | A1 |
20050203768 | Florance | Sep 2005 | A1 |
20050209892 | Miller | Sep 2005 | A1 |
20050209922 | Hofmeister | Sep 2005 | A1 |
20050246256 | Gastineau et al. | Nov 2005 | A1 |
20050267823 | Hartmann | Dec 2005 | A1 |
20050267840 | Holm-Blagg et al. | Dec 2005 | A1 |
20050273431 | Abel et al. | Dec 2005 | A1 |
20050278246 | Friedman et al. | Dec 2005 | A1 |
20050279827 | Mascavage et al. | Dec 2005 | A1 |
20050288954 | McCarthy et al. | Dec 2005 | A1 |
20050288998 | Verma et al. | Dec 2005 | A1 |
20060014129 | Coleman et al. | Jan 2006 | A1 |
20060031158 | Orman | Feb 2006 | A1 |
20060036543 | Blagg et al. | Feb 2006 | A1 |
20060036619 | Fuerst | Feb 2006 | A1 |
20060041443 | Horvath | Feb 2006 | A1 |
20060059073 | Walzak | Mar 2006 | A1 |
20060080251 | Fried et al. | Apr 2006 | A1 |
20060095363 | May | May 2006 | A1 |
20060100954 | Schoen | May 2006 | A1 |
20060122921 | Comerford et al. | Jun 2006 | A1 |
20060123461 | Lunt et al. | Jun 2006 | A1 |
20060129428 | Wennberg | Jun 2006 | A1 |
20060131390 | Kim | Jun 2006 | A1 |
20060149674 | Cook | Jul 2006 | A1 |
20060155639 | Lynch et al. | Jul 2006 | A1 |
20060163347 | Foss et al. | Jul 2006 | A1 |
20060173772 | Hayes et al. | Aug 2006 | A1 |
20060178971 | Owen et al. | Aug 2006 | A1 |
20060178983 | Nice et al. | Aug 2006 | A1 |
20060184410 | Ramamurthy et al. | Aug 2006 | A1 |
20060195351 | Bayburtian | Aug 2006 | A1 |
20060195391 | Stanelle | Aug 2006 | A1 |
20060212386 | Willey et al. | Sep 2006 | A1 |
20060229799 | Nimmo et al. | Oct 2006 | A1 |
20060229996 | Keithley et al. | Oct 2006 | A1 |
20060233332 | Toms | Oct 2006 | A1 |
20060241923 | Xu et al. | Oct 2006 | A1 |
20060242046 | Haggerty et al. | Oct 2006 | A1 |
20060242048 | Haggerty et al. | Oct 2006 | A1 |
20060248106 | Milne et al. | Nov 2006 | A1 |
20060259364 | Strock et al. | Nov 2006 | A1 |
20060265323 | Winter et al. | Nov 2006 | A1 |
20060267999 | Cash et al. | Nov 2006 | A1 |
20060271633 | Adler | Nov 2006 | A1 |
20060287764 | Kraft | Dec 2006 | A1 |
20060287766 | Kraft | Dec 2006 | A1 |
20060287767 | Kraft | Dec 2006 | A1 |
20060288090 | Kraft | Dec 2006 | A1 |
20060293921 | McCarthy et al. | Dec 2006 | A1 |
20060294199 | Bertholf | Dec 2006 | A1 |
20070011039 | Oddo | Jan 2007 | A1 |
20070016500 | Chatterji et al. | Jan 2007 | A1 |
20070016501 | Chatterji et al. | Jan 2007 | A1 |
20070016518 | Atkinson et al. | Jan 2007 | A1 |
20070038568 | Greene et al. | Feb 2007 | A1 |
20070067206 | Haggerty et al. | Mar 2007 | A1 |
20070067297 | Kublickis | Mar 2007 | A1 |
20070067437 | Sindambiwe | Mar 2007 | A1 |
20070078741 | Haggerty et al. | Apr 2007 | A1 |
20070083460 | Bachenheimer | Apr 2007 | A1 |
20070083463 | Kraft | Apr 2007 | A1 |
20070088507 | Haberlen | Apr 2007 | A1 |
20070093234 | Willis et al. | Apr 2007 | A1 |
20070094137 | Phillips et al. | Apr 2007 | A1 |
20070100719 | Chwast et al. | May 2007 | A1 |
20070106582 | Baker et al. | May 2007 | A1 |
20070112668 | Celano et al. | May 2007 | A1 |
20070156718 | Hossfeld et al. | Jul 2007 | A1 |
20070168246 | Haggerty et al. | Jul 2007 | A1 |
20070168267 | Zimmerman et al. | Jul 2007 | A1 |
20070179798 | Inbarajan | Aug 2007 | A1 |
20070208640 | Banasiak et al. | Sep 2007 | A1 |
20070214000 | Shahrabi et al. | Sep 2007 | A1 |
20070226093 | Chan et al. | Sep 2007 | A1 |
20070226114 | Haggerty et al. | Sep 2007 | A1 |
20070233591 | Newton | Oct 2007 | A1 |
20070244732 | Chatterji et al. | Oct 2007 | A1 |
20070260539 | Delinsky | Nov 2007 | A1 |
20070266439 | Kraft | Nov 2007 | A1 |
20070282736 | Conlin et al. | Dec 2007 | A1 |
20070288338 | Hoadley | Dec 2007 | A1 |
20070288360 | Seeklus | Dec 2007 | A1 |
20070288490 | Longshaw | Dec 2007 | A1 |
20070299770 | Delinsky | Dec 2007 | A1 |
20070299771 | Brody | Dec 2007 | A1 |
20080010203 | Grant | Jan 2008 | A1 |
20080015954 | Huber et al. | Jan 2008 | A1 |
20080027841 | Eder | Jan 2008 | A1 |
20080027859 | Nathans et al. | Jan 2008 | A1 |
20080052224 | Parker | Feb 2008 | A1 |
20080059317 | Chandran et al. | Mar 2008 | A1 |
20080059364 | Tidwell et al. | Mar 2008 | A1 |
20080065530 | Talbert et al. | Mar 2008 | A1 |
20080103959 | Carroll et al. | May 2008 | A1 |
20080103972 | Lanc | May 2008 | A1 |
20080109740 | Prinsen et al. | May 2008 | A1 |
20080120155 | Pliha | May 2008 | A1 |
20080133278 | Stanfield | Jun 2008 | A1 |
20080133322 | Kalia et al. | Jun 2008 | A1 |
20080133325 | De et al. | Jun 2008 | A1 |
20080140507 | Hamlisch et al. | Jun 2008 | A1 |
20080147454 | Walker et al. | Jun 2008 | A1 |
20080154766 | Lewis et al. | Jun 2008 | A1 |
20080162383 | Kraft | Jul 2008 | A1 |
20080167883 | Thavildar Khazaneh | Jul 2008 | A1 |
20080172324 | Johnson | Jul 2008 | A1 |
20080177655 | Zalik | Jul 2008 | A1 |
20080195548 | Chu et al. | Aug 2008 | A1 |
20080201257 | Lewis et al. | Aug 2008 | A1 |
20080205774 | Brinker et al. | Aug 2008 | A1 |
20080215470 | Sengupta et al. | Sep 2008 | A1 |
20080221970 | Megdal et al. | Sep 2008 | A1 |
20080221990 | Megdal et al. | Sep 2008 | A1 |
20080222015 | Megdal et al. | Sep 2008 | A1 |
20080222027 | Megdal et al. | Sep 2008 | A1 |
20080222706 | Renaud et al. | Sep 2008 | A1 |
20080228556 | Megdal et al. | Sep 2008 | A1 |
20080243680 | Megdal et al. | Oct 2008 | A1 |
20080270209 | Mauseth et al. | Oct 2008 | A1 |
20080270294 | Lent et al. | Oct 2008 | A1 |
20080270295 | Lent et al. | Oct 2008 | A1 |
20080294540 | Celka et al. | Nov 2008 | A1 |
20080294996 | Hunt et al. | Nov 2008 | A1 |
20080301016 | Durvasula et al. | Dec 2008 | A1 |
20080312969 | Raines et al. | Dec 2008 | A1 |
20090006185 | Stinson | Jan 2009 | A1 |
20090007231 | Kaiser et al. | Jan 2009 | A1 |
20090012889 | Finch | Jan 2009 | A1 |
20090018996 | Hunt et al. | Jan 2009 | A1 |
20090024505 | Patel et al. | Jan 2009 | A1 |
20090043637 | Eder | Feb 2009 | A1 |
20090044279 | Crawford et al. | Feb 2009 | A1 |
20090048877 | Binns et al. | Feb 2009 | A1 |
20090055322 | Bykov et al. | Feb 2009 | A1 |
20090076883 | Kilger et al. | Mar 2009 | A1 |
20090089190 | Girulat | Apr 2009 | A1 |
20090089205 | Bayne | Apr 2009 | A1 |
20090099960 | Robida et al. | Apr 2009 | A1 |
20090106846 | Dupray et al. | Apr 2009 | A1 |
20090119199 | Salahi | May 2009 | A1 |
20090119299 | Rhodes | May 2009 | A1 |
20090125439 | Zarikian et al. | May 2009 | A1 |
20090126013 | Atwood et al. | May 2009 | A1 |
20090132347 | Anderson et al. | May 2009 | A1 |
20090144160 | Haggerty et al. | Jun 2009 | A1 |
20090158030 | Rasti | Jun 2009 | A1 |
20090164380 | Brown | Jun 2009 | A1 |
20090171723 | Jenkins | Jul 2009 | A1 |
20090182653 | Zimiles | Jul 2009 | A1 |
20090198557 | Wang et al. | Aug 2009 | A1 |
20090198602 | Wang et al. | Aug 2009 | A1 |
20090199264 | Lang | Aug 2009 | A1 |
20090210886 | Bhojwani et al. | Aug 2009 | A1 |
20090222308 | Zoldi et al. | Sep 2009 | A1 |
20090222373 | Choudhuri et al. | Sep 2009 | A1 |
20090222374 | Choudhuri et al. | Sep 2009 | A1 |
20090222375 | Choudhuri et al. | Sep 2009 | A1 |
20090222376 | Choudhuri et al. | Sep 2009 | A1 |
20090222377 | Choudhuri et al. | Sep 2009 | A1 |
20090222378 | Choudhuri et al. | Sep 2009 | A1 |
20090222379 | Choudhuri et al. | Sep 2009 | A1 |
20090222380 | Choudhuri et al. | Sep 2009 | A1 |
20090234775 | Whitney et al. | Sep 2009 | A1 |
20090240624 | James et al. | Sep 2009 | A1 |
20090248567 | Haggerty et al. | Oct 2009 | A1 |
20090248568 | Haggerty et al. | Oct 2009 | A1 |
20090248569 | Haggerty et al. | Oct 2009 | A1 |
20090248570 | Haggerty et al. | Oct 2009 | A1 |
20090248571 | Haggerty et al. | Oct 2009 | A1 |
20090248572 | Haggerty et al. | Oct 2009 | A1 |
20090248573 | Haggerty et al. | Oct 2009 | A1 |
20090271248 | Sherman et al. | Oct 2009 | A1 |
20090276368 | Martin et al. | Nov 2009 | A1 |
20090289110 | Regen et al. | Nov 2009 | A1 |
20090299911 | Abrahams et al. | Dec 2009 | A1 |
20090313163 | Wang et al. | Dec 2009 | A1 |
20090327120 | Eze et al. | Dec 2009 | A1 |
20100009320 | Wilkelis | Jan 2010 | A1 |
20100010935 | Shelton | Jan 2010 | A1 |
20100023434 | Bond | Jan 2010 | A1 |
20100082476 | Bowman | Apr 2010 | A1 |
20100094774 | Jackowitz et al. | Apr 2010 | A1 |
20100114724 | Ghosh et al. | May 2010 | A1 |
20100114744 | Gonen | May 2010 | A1 |
20100122316 | Lyon | May 2010 | A1 |
20100145836 | Baker et al. | Jun 2010 | A1 |
20100174638 | Debie et al. | Jul 2010 | A1 |
20100223168 | Haggerty et al. | Sep 2010 | A1 |
20100223211 | Johnson et al. | Sep 2010 | A1 |
20100228658 | Ketelsen et al. | Sep 2010 | A1 |
20100250411 | Ogrodski | Sep 2010 | A1 |
20100253686 | Alsbury et al. | Oct 2010 | A1 |
20100257102 | Perlman | Oct 2010 | A1 |
20100268660 | Ekdahl | Oct 2010 | A1 |
20100299251 | Thomas | Nov 2010 | A1 |
20100299252 | Thomas | Nov 2010 | A1 |
20100299260 | Thomas | Nov 2010 | A1 |
20100324986 | Thomas | Dec 2010 | A1 |
20100325036 | Thomas | Dec 2010 | A1 |
20100332292 | Anderson | Dec 2010 | A1 |
20110004514 | Thomas | Jan 2011 | A1 |
20110004546 | Thomas | Jan 2011 | A1 |
20110029427 | Haggerty et al. | Feb 2011 | A1 |
20110047071 | Choudhuri et al. | Feb 2011 | A1 |
20110060654 | Elliott et al. | Mar 2011 | A1 |
20110060673 | Delinsky et al. | Mar 2011 | A1 |
20110071950 | Ivanovic | Mar 2011 | A1 |
20110078073 | Annappindi et al. | Mar 2011 | A1 |
20110093383 | Haggerty et al. | Apr 2011 | A1 |
20110112950 | Haggerty et al. | May 2011 | A1 |
20110112958 | Haggerty et al. | May 2011 | A1 |
20110125632 | Neel | May 2011 | A1 |
20110137924 | Hunt et al. | Jun 2011 | A1 |
20110145122 | Haggerty et al. | Jun 2011 | A1 |
20110166988 | Coulter | Jul 2011 | A1 |
20110173116 | Yan et al. | Jul 2011 | A1 |
20110178841 | Rane et al. | Jul 2011 | A1 |
20110178899 | Huszar | Jul 2011 | A1 |
20110184838 | Winters et al. | Jul 2011 | A1 |
20110196791 | Dominguez | Aug 2011 | A1 |
20110251946 | Haggerty et al. | Oct 2011 | A1 |
20110270727 | Kasower | Nov 2011 | A1 |
20110282779 | Megdal et al. | Nov 2011 | A1 |
20110295733 | Megdal et al. | Dec 2011 | A1 |
20120005070 | McFall et al. | Jan 2012 | A1 |
20120047219 | Feng et al. | Feb 2012 | A1 |
20120054090 | Haggerty et al. | Mar 2012 | A1 |
20120066065 | Switzer | Mar 2012 | A1 |
20120066106 | Papadimitriou | Mar 2012 | A1 |
20120101938 | Kasower | Apr 2012 | A1 |
20120101939 | Kasower | Apr 2012 | A1 |
20120116951 | Chung et al. | May 2012 | A1 |
20120123931 | Megdal et al. | May 2012 | A1 |
20120136774 | Imrey et al. | May 2012 | A1 |
20120158574 | Brunzell et al. | Jun 2012 | A1 |
20120191596 | Kremen et al. | Jul 2012 | A1 |
20120216125 | Pierce | Aug 2012 | A1 |
20120246048 | Cohen et al. | Sep 2012 | A1 |
20120246092 | Stibel et al. | Sep 2012 | A1 |
20120246093 | Stibel et al. | Sep 2012 | A1 |
20120253852 | Pourfallah et al. | Oct 2012 | A1 |
20120254018 | Davies et al. | Oct 2012 | A1 |
20120265661 | Megdal et al. | Oct 2012 | A1 |
20120271660 | Harris et al. | Oct 2012 | A1 |
20120278767 | Stibel et al. | Nov 2012 | A1 |
20120317016 | Hughes | Dec 2012 | A1 |
20120323954 | Bonalle et al. | Dec 2012 | A1 |
20120324388 | Rao et al. | Dec 2012 | A1 |
20120330689 | McLaughlin et al. | Dec 2012 | A1 |
20130006825 | Robida et al. | Jan 2013 | A1 |
20130007891 | Mogaki | Jan 2013 | A1 |
20130018795 | Kolhatkar et al. | Jan 2013 | A1 |
20130031105 | Stibel et al. | Jan 2013 | A1 |
20130103571 | Chung et al. | Apr 2013 | A1 |
20130110565 | Means et al. | May 2013 | A1 |
20130117087 | Coppinger | May 2013 | A1 |
20130124392 | Achanta et al. | May 2013 | A1 |
20130173451 | Kornegay et al. | Jul 2013 | A1 |
20130173481 | Hirtenstein et al. | Jul 2013 | A1 |
20130191261 | Chandler et al. | Jul 2013 | A1 |
20130205135 | Lutz | Aug 2013 | A1 |
20130218638 | Kilger et al. | Aug 2013 | A1 |
20130317954 | Psota et al. | Nov 2013 | A1 |
20130332338 | Yan et al. | Dec 2013 | A1 |
20130332341 | Papadimitriou | Dec 2013 | A1 |
20130339249 | Weller et al. | Dec 2013 | A1 |
20140012734 | Megdal et al. | Jan 2014 | A1 |
20140019333 | Morris et al. | Jan 2014 | A1 |
20140032300 | Zhang et al. | Jan 2014 | A1 |
20140032723 | Nema | Jan 2014 | A1 |
20140061302 | Hammad | Mar 2014 | A1 |
20140081835 | Choudhuri et al. | Mar 2014 | A1 |
20140110477 | Hammad | Apr 2014 | A1 |
20140156501 | Howe | Jun 2014 | A1 |
20140258089 | Pearson et al. | Sep 2014 | A1 |
20140279329 | Dancel | Sep 2014 | A1 |
20140279382 | Drakeley et al. | Sep 2014 | A1 |
20140372367 | McLean et al. | Dec 2014 | A1 |
20150026014 | Kasower | Jan 2015 | A1 |
20150073929 | Psota et al. | Mar 2015 | A1 |
20150112874 | Serio et al. | Apr 2015 | A1 |
20150161738 | Stempora | Jun 2015 | A1 |
20150186529 | Rope | Jul 2015 | A1 |
20150199757 | Lindholme et al. | Jul 2015 | A1 |
20150200948 | Cairns et al. | Jul 2015 | A1 |
20150228016 | Chandler | Aug 2015 | A1 |
20150310543 | DeBie | Oct 2015 | A1 |
20160125412 | Cannon | May 2016 | A1 |
20160224996 | Hunt et al. | Aug 2016 | A1 |
20170070500 | Hockey et al. | Mar 2017 | A1 |
20170161486 | Jeon et al. | Jun 2017 | A1 |
20170228820 | Rohn | Aug 2017 | A1 |
20170262758 | Boyapalle et al. | Sep 2017 | A1 |
20170323063 | Krause et al. | Nov 2017 | A1 |
20170323358 | Psota et al. | Nov 2017 | A1 |
20170352014 | Smith et al. | Dec 2017 | A1 |
20170359346 | Parab et al. | Dec 2017 | A1 |
20180040063 | Buechler et al. | Feb 2018 | A1 |
20180082371 | Chandler | Mar 2018 | A1 |
20180176267 | Malatesha et al. | Jun 2018 | A1 |
20180204279 | Painter et al. | Jul 2018 | A1 |
20180218069 | Rege et al. | Aug 2018 | A1 |
20180218448 | Thomas et al. | Aug 2018 | A1 |
20180285886 | Yan et al. | Oct 2018 | A1 |
20190019185 | Chitalia et al. | Jan 2019 | A1 |
20190034625 | Ford et al. | Jan 2019 | A1 |
20190066203 | Smith et al. | Feb 2019 | A1 |
20190102832 | Robida et al. | Apr 2019 | A1 |
20190156227 | Duke et al. | May 2019 | A1 |
20190188717 | Putnam et al. | Jun 2019 | A1 |
20190318122 | Hockey et al. | Oct 2019 | A1 |
20200034927 | Smith et al. | Jan 2020 | A1 |
20200074100 | Raneri et al. | Mar 2020 | A1 |
20200074541 | Finneran et al. | Mar 2020 | A1 |
20200076813 | Felice-Steele et al. | Mar 2020 | A1 |
20200106764 | Hockey et al. | Apr 2020 | A1 |
20200106765 | Hockey et al. | Apr 2020 | A1 |
20200137110 | Tyler et al. | Apr 2020 | A1 |
20200201878 | Putnam et al. | Jun 2020 | A1 |
20200202425 | Taylor-Shoff et al. | Jun 2020 | A1 |
20200211099 | Smith et al. | Jul 2020 | A1 |
20200213206 | Bracken et al. | Jul 2020 | A1 |
20200327610 | Rohn et al. | Oct 2020 | A1 |
20200349639 | Mousseau | Nov 2020 | A1 |
20200372506 | Billman et al. | Nov 2020 | A1 |
20200389461 | Felice-Steele et al. | Dec 2020 | A1 |
20210152567 | Huston, III et al. | May 2021 | A1 |
20210194885 | Manna | Jun 2021 | A1 |
20220051315 | Robida et al. | Feb 2022 | A1 |
20220217146 | Felice-Steele et al. | Jul 2022 | A1 |
20230007007 | Manna | Jan 2023 | A1 |
Number | Date | Country |
---|---|---|
1290373 | Apr 2001 | CN |
0 350 907 | Jan 1990 | EP |
0 419 889 | Apr 1991 | EP |
0 458 698 | Nov 1991 | EP |
0 468 440 | Jan 1992 | EP |
0 566 736 | Aug 1993 | EP |
0 559 358 | Sep 1993 | EP |
0 869 652 | Oct 1998 | EP |
0 913 789 | May 1999 | EP |
0 919 942 | Jun 1999 | EP |
0 977 128 | Feb 2000 | EP |
1 028 401 | Aug 2000 | EP |
1 077 419 | Feb 2001 | EP |
0 772 836 | Dec 2001 | EP |
1 550 960 | Jul 2005 | EP |
2 088 743 | Aug 2009 | EP |
10-222559 | Aug 1998 | JP |
10-261009 | Sep 1998 | JP |
2000-331068 | Nov 2000 | JP |
2001-282957 | Oct 2001 | JP |
2001-297141 | Oct 2001 | JP |
2001-344463 | Dec 2001 | JP |
2001-357256 | Dec 2001 | JP |
2002-149778 | May 2002 | JP |
2002-163449 | Jun 2002 | JP |
2002-163498 | Jun 2002 | JP |
2002-259753 | Sep 2002 | JP |
2003-016261 | Jan 2003 | JP |
2003-271851 | Sep 2003 | JP |
2003-316881 | Nov 2003 | JP |
2003-316950 | Nov 2003 | JP |
10-2000-0036594 | Jul 2000 | KR |
10-2000-0063995 | Nov 2000 | KR |
10-2001-0016349 | Mar 2001 | KR |
10-2001-0035145 | May 2001 | KR |
10-2002-0007132 | Jan 2002 | KR |
10-0638324 | Oct 2006 | KR |
I256569 | Jun 2006 | TW |
WO 95034155 | Dec 1995 | WO |
WO 96000945 | Jan 1996 | WO |
WO 97022073 | Jun 1997 | WO |
WO 97023838 | Jul 1997 | WO |
WO 98041931 | Sep 1998 | WO |
WO 98041932 | Sep 1998 | WO |
WO 98041933 | Sep 1998 | WO |
WO 99017225 | Apr 1999 | WO |
WO 99017226 | Apr 1999 | WO |
WO 99022328 | May 1999 | WO |
WO 99038094 | Jul 1999 | WO |
WO 99046710 | Sep 1999 | WO |
WO 00004465 | Jan 2000 | WO |
WO 00011574 | Mar 2000 | WO |
WO 00028441 | May 2000 | WO |
WO 00052616 | Sep 2000 | WO |
WO 01016896 | Mar 2001 | WO |
WO 01039090 | May 2001 | WO |
WO 01039589 | Jun 2001 | WO |
WO 01041083 | Jun 2001 | WO |
WO 01045012 | Jun 2001 | WO |
WO 01057720 | Aug 2001 | WO |
WO 01080053 | Oct 2001 | WO |
WO 01084281 | Nov 2001 | WO |
WO 2004114160 | Dec 2004 | WO |
WO 2005022348 | Mar 2005 | WO |
WO 2005029369 | Mar 2005 | WO |
WO 2005038631 | Apr 2005 | WO |
WO 2005107405 | Nov 2005 | WO |
WO 2005124619 | Dec 2005 | WO |
WO2006031626 | Mar 2006 | WO |
WO 2006099492 | Sep 2006 | WO |
WO 2006135451 | Dec 2006 | WO |
WO 2007004158 | Jan 2007 | WO |
WO 2007106393 | Sep 2007 | WO |
WO 2007106786 | Sep 2007 | WO |
WO 2007106787 | Sep 2007 | WO |
WO 2008022289 | Feb 2008 | WO |
WO 2008147918 | Dec 2008 | WO |
WO 2009061342 | May 2009 | WO |
WO 2009064840 | May 2009 | WO |
WO 2009099448 | Aug 2009 | WO |
WO 2009132114 | Oct 2009 | WO |
WO 2010062537 | Jun 2010 | WO |
WO 2010129257 | Nov 2010 | WO |
WO 2016070096 | May 2016 | WO |
WO 2018144612 | Aug 2018 | WO |
WO 2019103979 | May 2019 | WO |
WO 2020051154 | Mar 2020 | WO |
Entry |
---|
David K. Musto et al., “A portfolio view of consumer credit”, Journal of Monetary Economics 53 (Oct. 2006) pp. 59-84. |
U.S. Appl. No. 12/705,489, filed Feb. 12, 2010, Bargoli et al. |
U.S. Appl. No. 12/705,511, filed Feb. 12, 2010, Bargoli et al. |
Abrahams, Steven W., “The New View in Mortgage Prepayments: Insight from Analysis at the Loan-By-Loan Level,” The Journal of Fixed Income, Jun. 1997, vol. 7, No. 1, pp. 8-21. |
Apte, et al., “A Probabilistic Estimation Framework for Predictive Modeling Analytics,” IBM Systems Journal, 2002, vol. 41, No. 3, pp. 438-448. |
AISG's National Underwriting Database, A-Plus, is Now the Largest in the Industry, Business Wire, Aug. 7, 1997. |
Agarwal et al., “Determinants of Credit Card Delinquency and Bankruptcy: Macroeconomic Factors”, Journal of Economics and Finance, 2003, vol. 27, pp. 75-84 (12 pages). |
Announcing TrueProfiler, http://web.archive.org/web/20021201123646/http://www.truecredit.com/index.asp, dated Dec. 1, 2002, 1 page. |
Anonymous, “Credit-Report Disputes Await Electronic Resolution,” Credit Card News, Chicago, Jan. 15, 1993, vol. 5, No. 19, p. 5. |
Anonymous, “MBNA Offers Resolution of Credit Card Disputes,” Hempstead, Feb. 2002, vol. 68, No. 2, p. 47. |
“AT&T Expected to Turn Up Heat in Card Wars”, American Banker, May 27, 1993, vol. 158, No. 101, pp. 3. |
Avery et al., “Consumer Credit Scoring: Do Situational Circumstances Matter?”, Journal of Banking & Finance, vol. 28, 2004, pp. 835-856. |
Awoonor-Williams, Princess Josephine, Ph.D. “Gender and Credit: An Analysis of Women's Experience in the Credit Market”, ProQuest Dissertations and Theses, May 2004, pp. 148. |
BackupBox, http://mybackupbox.com printed Feb. 8, 2013 in 2 pages. |
“Balance Transfers Offer Opportunities”, Risk Credit Risk Management Report, Jan. 29, 1996, vol. 6, No. 2, pp. 2. |
Bancroft, John, “Tools Help Managers with Risk Management,” Real Estate Finance Today, May 26, 1997, pp. 11-12. |
“Bank of America Direct Web-Based Network Adds Core Functionality To Meet Day-To-Day Treasury Needs”, Business Wire, Oct. 25, 1999. pp. 2. |
Barone, Robert P., “The Integrated Approach to Branch Service Delivery,” American Banker, Aug. 6, 1991, http://www.highbeam.com/doc/1G1-11128400.html. |
Bilotta, Caryn, “Understanding Credit Scores,” Pittsburgh Post—Gazette, May 9, 2010. |
Bitran et al., “Mailing Decisions in Catalog Sales Industry”, Management Science (JSTOR), vol. 42, No. 9, pp. 1364-1381, Sep. 1996. |
Brown et al., “ALCOD IDSS: Assisting the Australian Stock Market Surveillance Team's Review Process,” Applied Artificial Intelligence Journal, Dec. 1, 1996, pp. 625-641. |
Bult et al., “Optimal Selection for Direct Mail,” Marketing Science, Nov. 1995, vol. 14, No. 4, pp. 378-394. |
Caliendo, et al., “Some Practical Guidance for the Implementation of Propensity Score Matching”, IZA:Discussion Paper Series, No. 1588, Germany, May 2005, pp. 32. |
Cantor, R. and Packer, F., “The Credit Rating Industry,” FRBNY Quarterly Review, Summer-Fall, 1994, pp. 1-24. |
“Chase Gets Positive,” Bank Technology News, May 6, 2000, vol. 14, No. 5, p. 33. |
Chatterjee et al., “Expenditure Patterns and Aggregate Consumer Behavior, Some Experiments with Australian and New Zealand Data”, The Economic Record, vol. 70, No. 210, Sep. 1994, pp. 278-291. |
Chores & Allowances, “Do Kids Have Credit Reports?” Oct. 15, 2007, http://choresandallowances.blogspot.com/2007/10/do-kids-have-credit-reports.html, pp. 5. |
Cisco: What-If Simulator, http://www.ciscocredit.com/whatifsim.html printed Oct. 12, 2012 in 2 pages. |
Cisco: Your Mortgage Credit Reporting Specialists, http://www.ciscocredit.com/cc_Services.html printed Oct. 12, 2012 in 4 pages. |
“Cole Taylor Bank Chooses Integrated E-Banking/E-Payments/Reconciliation Solution From Fundtech”, Business Wire, Oct. 21, 1999, pp. 2. |
“Consumer Reports Finds American-Made Vehicles Close Reliability Gap with European-Made Vehicle—As Japanese Continue to Set New Benchmarks for the Industry”, Consumer Reports: Consumers Union, Yonkers, NY, Apr. 2003, pp. 2. |
CreditAnalyst, Digital Matrix Systems, as printed out Mar. 4, 2008, pp. 2. |
CreditKarma, http://www.creditkarma.com printed Feb. 8, 2013 in 2 pages. |
CreditSesame, http://www.creditsesame.com/how-it-works/our-technology/ printed Feb. 5, 2013 in 2 pages. |
CreditToolkit, Digital Matrix Systems, as printed out Mar. 4, 2008, pp. 2. |
CreditXpert, http://www.creditxpert.com/Products/individuals.asp printed Oct. 12, 2012 in 1 page. |
“Credit Information Bureaus and ‘CIBIL’”, http://www.icicibank.com/cibil.html printed Aug. 22, 2012 in 3 pages. |
CreditKarma: How Credit Karma Works, http://www.creditkarma.com/help/howitworks printed Oct. 12, 2012 in 2 pages. |
Credit Source Online: The Secrets of Raising Your Credit Score, http://www.creditsourceonline.com/secrets-of-raising-your-credit-score.html printed Oct. 12, 2012 in 4 pages. |
ComScore Networks Launches Business Unit to Help Credit Card Marketers Master Online and Multi-Channel Strategies—Solutions Provide Unprecedented Insight Into Customer Acquisition and Usage Opportunities, Reston, VA, Oct. 11, 2001, 2 pages. |
Cowie, Norman, “Warning Bells & ‘The Bust-Out’”, Business Credit, Jul. 1, 2000, pp. 5. |
Credit Card Management, “Neural Nets Shoot for Jackpot,” Dec. 1995, pp. 1-6. |
Credit Risk Management Report, Potomac, Mar. 9, 1998, vol. 8, No. 4. |
CreditXpert Inc., CreditXpert 3-Bureau Comparison™, 2002, pp. 5, as archived Jun. 8, 2003 from http://web.archive.org/web/20030608171018/http://creditxpert.com/CreditXpert%203-Bureau%20Comparison(TM)%20sample.pdf. |
CreditXpert Inc., CreditXpert Credit Score & Analysis™, Jan. 11, 2000, pp. 6, http://web.archive.org/web/20030611070058/http://www.creditxpert.com/CreditXpert%20Score%20&%20Analysis%20and%20Credit%20Wizard%20sample.pdf. |
CreditXpert Inc., CreditXpert Essentials™, Advisor View—Experian on Jul. 7, 2003, http://www.creditxpert.com/cx_ess_app.pdf. |
CreditXpert Inc., CreditXpert Essentials™, Advisor View—TransUnion on Oct. 10, 1999, pp. 6, http://web.archive.org/web/20041211052543/http://creditxpert.com/cx_ess_app.pdf. |
CreditXpert Inc., CreditXpert Essentials™, Applicant View—TransUnion on Oct. 10, 1999, pp. 6, http://www.creditxpert.com/cx_ess_app.pdf. |
CreditXpert Inc., CreditXpert What-If Simulator™, 2002, pp. 8, as archived Jun. 30, 2003 from http://web.archive.org/web/20030630132914/http://creditxpert.com/CreditXpert%20What-If%20Simulator(TM)%20sample.pdf. |
Credit Scoring Systems Used to Measure Bankruptcy Risk. (1991). Credit Risk Management Report, 1(2), N/A. Retrieved from https://dialog.proquest.com/professional/docview/1078503725?accountid= 131444, pp. 7. |
Dash, Julekha, “Java on the Street,” Software Magazine, Oct. 1, 1997, vol. 17, No. 11, p. 2. |
Dataman Group, “Summarized Credit Statistics,” Aug. 22, 2001, http://web.archive.org/web/20010822113446/http://www.datamangroup.com/summarized_credit.asp. |
David, Alexander, “Controlling Information Premia by Repackaging Asset-Backed Securities,” The Journal of Risk and Insurance, Dec. 1997, 26 pages. |
Davis, Lisa, “Safety in Numbers,” Business North Carolina, Sep. 1, 1995, vol. 15, No. 9, p. 24. |
“Debt Settlement: Watch Video on how to Pay Your Debt Faster”, http://www.debtconsolidationcare.com/debt-settlement.html printed Jan. 9, 2013 in 6 pages. |
Demby, Elayne, “Special Report: Letting Consumers Know the Score—and More”, Collections and Credit Risk, New York, Feb. 2003, vol. 8, Issue 2, p. 53, pp. 3. |
Department of Real Estate, http://web.archive.org/web/20040619190012/http://www.dre.ca.gov/pubs_sub.htm, Jun. 19, 2004, in 5 pages. |
Department of Real Estate, “Reference Book,” http://web.archive.org/web/20041011063158/http://www.dre.ca.gov/pdf_docs/ref17.pdf, Jun. 18, 2004, Chapter 17, pp. 311-382. |
Dillon et al., “Good Science”, Marketing Research: A Magazine of Management & Applications TM, Winter 1997, vol. 9, No. 4; pp. 11. |
Downing, Jr.; Richard, “Changes to the Credit Reporting Act,” Mortgage Banking, Apr. 1, 1998, vol. 58, No. 7, pp. 82-85. |
Ecredable: Discover your AMP Credit Rating™, http://www.ecredable.com/how-it-works/amp-credit-rating printed Oct. 12, 2012 in 2 pages. |
EFunds Corporation, “Data & Decisioning: Debit Report” printed Apr. 1, 2007, http://www.efunds.com/web/industry-solutions/financial-services/frm-debit-report/htm in 1 page. |
EFunds Introduces QualiFileSM, Deluxe Corporation, eFunds Press Release and Product Launch, Sep. 23, 1999, Milwaukee, WI. |
Elmasri et al., “Fundamentals of Database Systems, Third Edition (Excerpts)”, Jun. 2000, pp. 253, 261, 268-270, 278-280, 585, 595. |
Equifax: Consumer Bureau, http://www.equifax.co.in/financial-services/consumer_bureau/en_in#RiskScore printed Oct. 12, 2012 in 3 pages. |
Ettorre, “Paul Kahn on Exceptional Marketing,” Management Review, vol. 83, No. 11, Nov. 1994, pp. 48-51. |
“Equifax and FICO Serve Consumers”, Mortgage Servicing News, Mar. 2001, vol. 5, No. 3, p. 19. |
Experian, http://www.experian.com/ printed Oct. 12, 2012 in 1 page. |
Experian Announces PLUS Score; Experian Press Release dated Oct. 16, 2003; Experian Global Press Office. |
“Experian Launches Portfolio Monitor—Owner NoticesSM”, News Release, Feb. 2003, Costa Mesa, CA. |
Experian—Scorex Announces New Credit Simulation Tool, PR Newswire, Costa Mesa, CA, Jun. 13, 2005. |
Experian, Custom Strategist and Qualifile from Funds, Jun. 2000, in 2 pages. |
Experian Information Solutions, Inc., Credit Trends: Access Credit Trending Information Instantly, http://kewaneecreditbureau.com/Credit.Trends.pdf, Aug. 2000, pp. 4. |
Fair Isaac Announces Integrated, End-to-End Collection and Recovery Solution, Business Wire, New York, Sep. 2, 2004, p. 1. |
Fair Isaac Corporation, myFICO: Calculators: Credit Assessment, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/CreditEducation/Calculators/CreditAssessment.aspx. |
Fair Isaac Corporation, myFICO: Help: FICO Score Simulator, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Help/Simulator.aspx?fire=5. |
Fair Isaac Corporation, myFICO: Products: Suze Orman's FICO Kit Platinum, as printed Jun. 8, 2005 in 4 pages, http://www.myfico.com/Products/FICOKit/Description.aspx. |
Fair Isaac Corporation, myFICO: Products: Suze Orman's FICO® Kit Platinum: FICO Score Check, as printed Jun. 7, 2005 in 1 page, http://www.myfico.com/Products/FICOKit/Sample03.html. |
Fair Isaac Corporation, myFICO: Products: Suze Orman's FICO®. Kit Platinum: Look for Errors, as printed Jun. 7, 2005 in 3 pages http://www.myfico.com/Products/FICOKit/Sample02.html. |
Fair Isaac Corporation, myFICO: Products: Suze Orman's FICO® Kit Platinum: Your FICO Score, as printed Jun. 7, 2005 in 1 page, http://www.myfico.com/Products/FICOKit/Sample01.html. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator, as printed Jun. 8, 2005 in 5 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulator.asp. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Max Out All Your Credit Cards, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?Simulation=4&ReportID=1&productID=&Execute.x=105&Execute.y=23. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Miss Payments on All Accounts With a Payment Due, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?miss_payment=radiobutton&Simulation=2&ReportID=1&ProductID=&Execute.x81&Execute.y=28>. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Pay Down Delinquent Balances First, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?textfieldCC=750&Simulation=7&ReportID=1&ProductID=&PayDelinquent.x=78&PayDelinquent.y=30. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Pay Down the Balances on All Your Credit Cards, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?textfieldCC1=750&SelectMonths=1&PayOption=radiobutton&textfieldCC=750&Simulation=3&ReportID=1&ProductID=&Execute.x=57&Execute.y=22. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Pay Your Bills on Time, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?select1=1&Simulation=1&ReportID=1&ProductID=&PayBillsOnTime.x=93&PayBillsOnTime.y=23. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Seek New Credit, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?new_credit=radiobutton&textfield5A=3000&tectfield5B=&textfield5C=&Simulation=5&ReportID=1&ProductID=&NewCredit.x=62&NewCredit.y=20. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Suggested Best Action, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?Simulation=111&ReportID=1&ProductID=&TopAction.x=66&TopAction.y=16. |
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator: Transfer Credit Card Balances, as printed Jun. 8, 2005 in 2 pages, http://www.myfico.com/Content/Samples/Sample_ScoreSimulatorResults.asp?textfield222=5000&Simulation=6&ReportID=1&ProductID=&TransferBalance.x=86&TransferBalance.y=24. |
“Fair Isaac Introduces Falcon One System to Combat Fraud at Every Customer Interaction”, Business Wire, May 5, 2005, pp. 3. |
“Fair Isaac Offers New Fraud Tool”, National Mortgage News & Source Media, Inc., Jun. 13, 2005, pp. 2. |
FamilySecure.com; “Identity Theft Protection for the Whole Family | FamilySecure.com” http://www.familysecure.com/, as retrieved on Nov. 5, 2009. |
Fanelli, Marc, “Building a Holistic Customer View”, MultiChannel Merchant, Jun. 26, 2006, pp. 2. |
Fickenscher, Lisa, “Merchant American Express Seeks to Mine its Data on Cardholder Spending Patterns,” American Banker, vol. 162, Issue 56, Mar. 24, 1997, pp. 1-2. |
Financial Engines, http://corp.financialengines.com/ printed Oct. 12, 2012 in 1 page. |
Fisher, Joseph, “Access to Fair Credit Reports: Current Practices and Proposed Legislation,” American Business Law Journal, Fall 1981, vol. 19, No. 3, p. 319. |
Forrest, David, “Achieving Perfect Credit—Lesson 3: Assessing Your Situation,” https://web.archive.org/web/20140828173720/http://www.fool.com/seminars/ev/index.htm?sid=0029&lid=300, as archived Aug. 28, 2014, copyright 1995-2002, in 7 pages. |
Frank, John, “Scoring Takes on a New Meaning,” Credit Card Management, Sep. 1996, vol. 9, No. 6, pp. 155-159. |
“Fraud Alert | Learn How”. Fight Identity Theft. http://www.fightidentitytheft.com/flag.html, accessed on Nov. 5, 2009. |
“FTC Testifies: Identity Theft on the Rise”, FTC News Release, Mar. 7, 2000, pp. 3. |
“Fund Manager,” Portfolio Management Software website, indexed into Google on Jan. 7, 2005, Retrieved Oct. 24, 2014 http://www.fundmanagersoftware.com/, http://www.fundmanagersoftware.com/help/gph_tp_pieasset.html, http://www.fundmanagersoftware.com/demo2.html. |
GAO-03-661, Best Practices: Improved Knowledge of DOD Service Contracts Could Reveal Significant Savings, GAO, Jun. 2003. |
Gibbs, Adrienne; “Protecting Your Children from Identity Theft,” Nov. 25, 2008, http://www.creditcards.com/credit-card-news/identity-ID-theft-and-kids-children-1282.php, pp. 4. |
Gilje, Shelby, “Keeping Tabs On Businesses That Keep Tabs On US”, NewsRoom, The Seattle Times, Section: Scene, Apr. 19, 1995, pp. 4. |
Giudici, Paolo, “Bayesian Data Mining, with Application to Benchmarking and Credit Scoring,” Applied Stochastic Models in Business and Industry, 2001, vol. 17, pp. 69-81. |
Gopalan, R., “Panning for Sales-Force Gold”, Intelligent Enterprise, Dec. 21, 1999, vol. 2, No. 18, pp. 39-43. |
“Green Tree Investors May Go To Court,” Mar. 4, 1998, http://web.archive.org/web/20001101080021/http://www.channel4000.com/news/stories/news-980304-120038.html. |
“Groups Demand Government Action on Online Marketing to Children,” American Marketplace, Apr. 4, 1996, vol. 17, No. 7, p. 53. |
Gualtieri et al., “The Forrester Wave™: Big Data Streaming Analytics, Q1 2016”, Forrester®, Mar. 30, 2016, pp. 14, https://www.sas.com/content/dam/SAS/en_us/doc/analystreport/forrester-big-data-streaming-analytics-108218.pdf. |
Haughton et al., “Direct Marketing Modeling with CART and CHAID”, Journal of Direct Marketing, Fall 1997, vol. 11, No. 4, pp. 42-52. |
Healy, Thomas J., “The New Science of Borrower Behavior,” Mortgage Banking, vol. 58, No. 5, pp. 26-35, Feb. 1, 1998. |
Hill, Kerry, “Identity Theft Your Social Security Number Provides Avenue For Thieves”, NewsRoom, Wisconsin State Journal, Sep. 13, 1998, pp. 4. |
Hojoki, http://hojoki.com printed Feb. 8, 2013 in 5 pages. |
ID Theft Assist, “Do You Know Where Your Child's Credit Is?”, Nov. 26, 2007, http://www.idtheftassist.com/pages/story14, pp. 3. |
Ideon, Credit-Card Registry that Bellyflopped this Year, Is Drawing some Bottom-Fishers, The Wall Street Journal, Aug. 21, 1995, pp. C2. |
IFTTT, “About IFTTT,” http://ifttt.com/wtf printed Feb. 18, 2013 in 4 pages. |
“Impac Funding Introduces Enhanced Website for Static Pool Tracking of MBS Transactions,” Waltham, MA; Webpage printed out from http://www.lewtan.com/press/1208044_Impac-Lewtan.htm on Mar. 20, 2008. |
Instant Access to Credit Reports Now Available Online with DMS' CreditBrowser-based system also Simplifies Credit Decisioning and Offers a Central Point of Control, Business Wire, Dallas, May 23, 2000, p. 0264. |
“Intelligent Miner Applications Guide”, IBM Corp., Apr. 2, 1999, Chapters 4-7, pp. 33-132. |
Internal Revenue Service Data Book 2000, Issued Aug. 2001, Revised May 2003. |
Jacob et al., A Case Study of Checking Account Inquiries and Closures in Chicago, The Center for Financial Services Innovation, Nov. 2006. |
“Japan's JAAI System Appraises Used Cars Over Internet”, Asia Pulse, Mar. 3, 2000, p. 1. |
Jones, Yvonne, “Consumers Understood the Basics but Could Benefit from Targeted Educational Efforts,” GAO U.S. Government Accountability Office, Mar. 16, 2005, pp. 128, http://www.gao.gov/products/GAO-05-223. |
“JPMorgan Worldwide Securities Services to Acquire Paloma's Middle and Back Office Operations,” Webpage printed from http://www.jpmorgan.com on Apr. 1, 2009. |
“Judging Credit: Consumers Need Better Finance Tools”, News Journal, Daytona Beach, FL, Dec. 28, 2002. |
Karlan et al., “Observing Unobservables: Identifying Information Asymmetries with a Consumer Credit Field Experiment”, Jun. 17, 2006, pp. 58, http://aida.econ.yale.edu/karlan/papers/ObservingUnobservables.KarlanZinman.pdf. |
Klein, et al., “A Constant-Utility Index of the Cost of Living”, The Review of Economic Studies, Sep. 1, 1947, vol. 15, No. 2, pp. 84-87. |
Klein, et al., “An Econometric Model of the United States: 1929-1952”, North-Holland Publishing Company, Amsterdam, Jun. 1, 1955, pp. 4-41. |
Klein, Lawrence R., “The Keynesian Revolution”, New York, The MacMillan Company, Jan. 1, 1947, pp. 56-189. |
Kulkosky, Edward, “Credit Scoring Appeal Transcends Underwriting,” American Banker, vol. 161, No. 93, p. 8, May 15, 1996. |
Kuykendall, Lavonne, “Divergent Paths in Early Pacts with Credit Bureaus”, American Banker, May 30, 2002, vol. 167, No. 3, pp. 2. |
Lan, Joe, “The Top Portfolio Management Software,” http://www.aaii.com/computerizedinvesting/article/the-top-portfolio-management-software, Includes Discussion thread, Fourth Quarter 2011, pp. 17. |
Langer et al., “Creditor List Screening Practices: Certain Implications Under the Fair Credit Reporting Act and the Equal Credit Opportunity Act,” The Business Lawyer, May 1988, vol. 43, pp. 1123-1141. |
Lee, W.A., “Experian Eyes Payments, Mulls Deals” American Banker: The Financial Services Daily, 2pgs., New York, NY, May 30, 2003. |
Lee, W.A.; “Fair Isaac Taps Institutions for Credit Score Distribution”, American Banker: The Financial Services Daily, New York, NY, Apr. 9, 2002, vol. 167, Issue 67, 1 Page. |
Lee, W.A., “Money, Quicken, and the Value of Alliances”, American Banker: The Financial Services Daily, 2pgs., New York, NY, Jul. 28, 2003. |
LendingTree.com, “Lender Ratings & Reviews,” http://web.archive.org/web/20091015043716/http://www.lendingtree.com/lender-reviews/, Oct. 15, 2009, in 21 pages. |
Letter to Donald A. Robert from Carolyn B. Maloney, dated Oct. 31, 2007, pp. 2. |
Letter to Donald A. Robert from Senator Charles E. Schumer, dated Oct. 11, 2007, pp. 2. |
Letter to Harry C. Gambill from Carolyn B. Maloney, dated Oct. 31, 2007, pp. 2. |
Letter to Harry C. Gambill from Senator Charles E. Schumer, dated Oct. 11, 2007, pp. 2. |
Letter to Richard F. Smith from Carolyn B. Maloney, dated Oct. 31, 2007, pp. 2. |
Letter to Richard F. Smith from Senator Charles E. Schumer, dated Oct. 11, 2007, pp. 2. |
LifeLock, “Identity Theft F.A.Q.” http://web.archive.org/web/20080215093614/http://www.identitytheftkiller.com/promo/faq.php, Feb. 15, 2008, pp. 8. |
LifeLock, “LifeLock Launches First ID Theft Prevention Program for the Protection of Children,” Press Release, Oct. 14, 2005, http://www.lifelock.com/about-us/press-room/2005-press-releases/lifelock-protection-for-children. |
LifeLock; “How Can LifeLock Protect My Kids and Family?” http://www.lifelock.com/lifelock-for-people/how-we-do-it/how-can-lifelock-protect-my-kids-and-family printed Mar. 14, 2008 in 1 page. |
LifeLock, “Personal Identity Theft Protection & Identity Theft Products,” http://www.lifelock.com/lifelock-for-people, accessed Nov. 5, 2007. |
LifeLock, Various Pages, www.lifelock.com/, Jan. 9, 2007, pp. 49. |
Longo, Tracey, “Managing Money: Your Family Finances”, Kiplinger's Personal Finance Magazine, Jun. 1, 1995, vol. 49, No. 6, pp. 4. |
Lund, Graham, “Credit Bureau Data: Maximizing the Benefits,” Credit Management, May 2004, ProQuest Central, pp. 44-45. |
Menge, Falko, “Enterprise Service Bus”, Free and Open Source Software Conference, 2007, pp. 6. |
Merriam Webster's Collegiate Dictionary, 10th Edition, Jan. 1, 1993, p. 79. |
Miller, Margaret, “Credit Reporting Systems Around the Globe: The State of the Art in Public and Private Credit Registries”, Jun. 2000, pp. 32, http://siteresources.worldbank.org/INTRES/Resources/469232-1107449512766/Credit_Reporting_Systems_Around_The_Globe.pdf. |
Miller, Joe, “NADA Used-Car Prices Go Online”, Automotive News, Jun. 14, 1999, p. 36. |
Mint.com, http://www.mint.com/how-it-works/ printed Feb. 5, 2013 in 2 pages. |
Montgomery County Housing Report, Residential Market Report, Jan. 2004 in 6 pages. |
Mover, “One API for the Cloud,” http://mover.io printed Feb. 6, 2013 in 3 pages. |
MyFico, http://www.myfico.com/products/ficoone/sample/sample_scoresimulator.aspx printed Oct. 12, 2012 in 3 pages. |
National Alert Registry Launches RegisteredOffendersList.org to Provide Information on Registered Sex Offenders, May 16, 2005, pp. 2, http://www.prweb.com/printer/240437.htm accessed on Oct. 18, 2011. |
National Alert Registry Offers Free Child Safety “Safe From Harm” DVD and Child Identification Kit, Oct. 24, 2006. pp. 2, http://www.prleap.com/pr/53170 accessed on Oct. 18, 2011. |
National Alert Registry website titled, “Does a sexual offender live in your neighborhood”, Oct. 22, 2006, pp. 2, http://web.archive.org/wb/20061022204835/http://www.nationallertregistry.com/ accessed on Oct. 13, 2011. |
“New Privista Product Provides Early Warning System to Combat Identity Theft”, PR Newswire, Oct. 24, 2000, PR Newswire Association, Inc., New York. |
“NewsHound: NewsHound User Guide Internet E-Mail”, of record as early as May 2, 1997, pp. 11. |
“New for Investors: Asset Allocation, Seasoned Returns and More,” Prosper, http://blog.prosper.com/2011/10/27/new-for-investors-asset-allocation-seasoned-returns-and-more/, Oct. 27, 2011, pp. 4. |
Nikravesh et al., “Fuzzy Queries, Search, and Decision Support System”, Soft Computing, Aug. 2002, vol. 6, No. 5, pp. 373-399. |
“Normalize,” http://www.merriam-webster.com/dictionary/normalize printed Jun. 14, 2010. |
Novack, Janet, “The Coming Fight over FICO,” Forbes, Dec. 18, 1995, vol. 156, No. 14, p. 96. |
Occasional CF Newsletter; http://www.halhelms.com/index.cfm?fuseaction=newsletters.oct1999; Oct. 1999. |
Office of Integrated Analysis and Forecasting, DOE/EIA-M065(2004), Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, EIA, Washington DC, Feb. 2004. |
Otixo, “Your Dashboard for the Cloud,” http://Otixo.com/product printed Feb. 6, 2013 in 3 pages. |
Pagano, et al., “Information Sharing in Credit Markets,” Dec. 1993, The Journal of Finance, vol. 48, No. 5, pp. 1693-1718. |
Partnoy, Frank, Rethinking Regulation of Credit Rating Agencies: An Institutional Investor Perspective, Council of Institutional Investors, Apr. 2009, pp. 21. |
Pipes, http://pipes.yahoo.com/pipes printed Feb. 18, 2013 in 1 page. |
Planwise, http://planwise.com printed Feb. 8, 2013 in 5 pages. |
Polatoglu et al., “Theory and Methodology, Probability Distributions of Cost, Revenue and Profit over a Warranty Cycle”, European Journal of Operational Research, Jul. 1998, vol. 108, Issue 1, pp. 170-183. |
Powerforms: Declarative Client-Side For Field Validation, ISSN 1386-145x, Dec. 2000. |
Primadesk, http://primadesk.com printed Feb. 8, 2013 in 1 page. |
“ProClarity and Microsoft to Host Free Seminar Series on Retail Analytics with Independent Analyst Firm—ProClarity to Share Best Forrester Analysts to Discuss Trends and the Future of the Retail”; Business Wire; pp. 2; Aug. 13, 2003. |
“Qualifying For Debt Settlement”, http://www.certifieddebt.com/debt/settlement-qualifications.shtml printed Jan. 9, 2013 in 2 pages. |
Quantix Software, “Investment Account Manager,” available at https://www.youtube.com/watch?v=1UwNTEER1Kk, as published Mar. 21, 2012. |
Ralston et al., “Lending Procedures and the Viability—Social Objectives Conflict in Credit Unions”, The International Journal of Bank Marketing, 2003, vol. 21, No. 6/7, pp. 304-311 (14 pages). |
RapUP, Attribute Management & Report Systems: Absolute Advantage!, Magnum Communications Brochure, Copyright 2004, pp. 5. |
Ratner, Juliana, “GMAC to Sell Risk-Management Advice; Target is 150 Biggest Home Loan Servicers,” American Banker, vol. 161, No. 53, p. 16, Mar. 19, 1996. |
“Recognition and use by Appraisers of Energy-Performance Benchmarking Tools for Commercial Buildings,” prepared by the Institute for Market Transformation, NYSERDA, Feb. 2003, pp. 6. |
“Resolve Debt for Less: With Help from Freedom Financial” http://www.debtsettlementusa.com/ printed Jan. 9, 2013 in 6 pages. |
“RF/Spectrum to Offer Score,” National Mortgage News, Special Report; Credit Reporting & Scaring, Jun. 9, 1997, p. 40. |
Risk Monitors, “New GMAC Unit Focuses on Portfolio Risk,” PR Newswire, Mar. 13, 1996, pp. 2. http://www.thefreelibrary.com/NEW+GMAC+UNIT+FOCUSES+ON+PORTFOLIO+RISK-a018092212. |
Saunders, A., “Data Goldmine,” Management Today, London: Mar. 1, 2004, 6 pages. |
Sawyers, Arlena, “NADA to Offer Residual Guide”, Automotive News, May 22, 2000, p. 1. |
Schmittlein et al., “Customer Base Analysis: An Industrial Purchase Process Application”, Marketing Science, vol. 13, No. 1, Winter 1994, pp. 41-67. |
Schmidt, David, “Environmental Impact: The Changing Credit Reporting Landscape,” Business Credit, Apr. 2003, vol. 105, No. 4, pp. 14 (provided in 5 pages). |
Screenshot for Investment Account Manager v.2.8.3, published at http://www.aaii.com/objects/get/1642.gif by at least Aug. 30, 2011 in 1 page. |
Sealey, Geraldine, “Child ID Theft Can Go Unnoticed for Years”, http://abcnews.go.com/US/story?id=90257, Sep. 12, 2003 in 9 pages. |
ServiceObjects, “DOTS Web Services—Product Directory”, http://www.serviceobjects.com/products/directory_of_web_services.asp printed Aug. 17, 2006 in 4 pages. |
“Settling Your Debts—Part 1 in Our Debt Settlement Series”, http://www.creditinfocenter.com/debt/settle_debts.shtml printed Jan. 9, 2013 in 6 pages. |
“Shareholders Sue Green Tree Financial,” Dated Dec. 4, 1997, http://web.archive.org/web/20000419070107/http://www.wcco.com/news/stories/news-971204-092238.html. |
Singletary, Michelle “Ratings for the Credit Raters”, The Washington Post, The Color of Money column, Mar. 24, 2002 in 1 page. |
Singletary, Michelle, “Score One for Open Credit Ratings”, The Washington Post, Washington DC, Jun. 18, 2000, 3 pages. |
Smith, Wendell R., “Product Differentiation and Market Segmentation as Alternative Marketing Strategies”, The Journal of Marketing, The American Marketing Association, Brattleboro, Vermont, Jul. 1956, vol. XXI, pp. 3-8. |
Solapurkar, Prajakta, “Building Secure Healthcare Services Using OAuth 2.0 and JSON Web Token in IOT Cloud Scenario”, IEEE, 2nd International Conference on Contemporary Computing and Informatics (ic3i), 2016, pp. 99-104. |
Stanton, T.H., “Credit Scoring and Loan Scoring as Tools for Improved Management of Federal Credit Programs”, Financier, Philadelphia, Summer 1999, vol. 6, 36 pages. |
Steele, Georgia, “Fair, Isaac Seeks Mortgage Tech Opportunities,” National Mortgage News, Special Report; B& C Lending, Mar. 23, 1998, p. 34. |
Stein, Benchmarking Default Prediction Models: Pitfalls and Remedies in Model Validation, Moody's KMV, Revised Jun. 13, 2002, Technical Report #020305; New York. |
Stone, “Linear Expenditure Systems and Demand Analysis: An Application to the Pattern of British Demand”, The Economic Journal: The Journal of The Royal Economic Society, Sep. 1954, pp. 511-527, vol. LXIV, Macmillan & Co., London. |
Storage Made Easy (SME), http://storagemadeeasy.com printed Feb. 6, 2013 in 1 page. |
Sullivan, Deidre, “Scoring Borrower Risk,” Mortgage Banking, Nov. 1994, vol. 55, No. 2, pp. 94-98. |
Sumner, Anthony, “Tackling The Issue of Bust-Out Fraud”, Retail Banker International, Jul. 24, 2007, pp. 4. |
Tao, Lixin, “Shifting Paradigms with the Application Service Provider Model”; Concordia University, IEEE, Oct. 2001, Canada. |
Taylor, Marshall, “Loan-Level Pricing Draws Interest From Investors,” Real Estate Finance Today, Jul. 7, 1997, vol. 14, No. 14. p. 10. |
“The Best of the Best,” Mortgage Technology, Nov. 1, 2003, vol. 10, No. 8, pp. 34-53. |
TheMorningCall.com, “Cheap Ways to Foil Identity Theft,” www.mcall.com/business/columnists/all-karp.5920748jul01,0 . . . , published Jul. 1, 2007. |
Thoemmes, Felix, “Propensity Score Matching in SPSS”, Center for Educational Science and Psychology, University of Tübingen, Jan. 2012. |
Todorova, Aleksandra, “Protecting Your Child's Identity”, Smart Money, Published Aug. 2, 2007, pp. 1-5. |
“TransUnion—Child Identity Theft Inquiry”, TransUnion, http://www.transunion.com/corporate/personal/fraudIdentityTheft/fraudPrevention/childIDInquiry.page as printed Nov. 5, 2009 in 4 pages. |
TransUnion: VantageScore®—Consistency in Credit Scoring, http://www.transunion.com/personal-credit/credit-reports/vantage-score.page printed Oct. 12, 2012 in 2 pages. |
Trulia, “Trulia Estimates,” http://www.trulia.com/trulia_estimates/, printed Feb. 18, 2014 in 2 pages. |
Tuman, Diane, “What is a Zestimate?” Mar. 2013, pp. 5, http://www.zillow.com/wikipages/What-is-a-Zestimate/. |
“Use of Alternative Data to Enhance Credit Reporting to Enable Access to Digital Financial Services by Individuals and SMEs Operating in the Informal Economy”, Guidance Note, International Committee on Credit Reporting (ICCR), Jun. 28, 2018, pp. 35. |
Vamosi, Robert, “How to Handle ID Fraud's Youngest Victims,” Nov. 21, 2008, http://news.cnet.com/8301-10789_3-10105303-57.html. |
Van Collie, Shimon, “The Road to Better Credit-Card Marketing,” Bank Technology News, Sep. 1995, pp. 4. |
Verstraeten, Geert, Ph.D.; Issues in predictive modeling of individual customer behavior: Applications in targeted marketing and consumer credit scoring; Universiteit Gent (Belgium), Dec. 2005. |
Wahl, Martin, “The Stampede to Subprime,” Mortgage Banking, Oct. 1, 1997, vol. 58, No. 1, p. 26(7). |
“WashingtonPost.com and Cars.com Launch Comprehensive Automotive Web Site For the Washington Area”, PR Newswire, Oct. 22, 1998. pp. 2. |
Watts, Craig, “Consumers Now Can Know What Loan Rate Offers to Expect Based on Their FICO Credit Score at MyFICO.com,” San Rafael, CA, Mar. 6, 2002, pp. 2, http://www.myfico.com/PressRoom/PressReleases/2002_03_06.aspx. |
Watts, Craig, “Fair, Isaac and Equifax Give Consumers New Score Power Tools Offering Greater Insights for Managing Their Credit Health,” May 21, 2002, pp. 3, http://www.myfico.com/PressRoom/PressReleases/2002_05_21.aspx. |
Webpage printed from http://www.magnum.net/pdfs/RapUpBrochure.pdf as printed Mar. 3, 2008. |
“We Eliminate Bad Debt”, as printed from http://www.webcreditbureau.com/start/, dated Aug. 22, 2012, 1 Page. |
West, David, “Neural Network Credit Scoring Models”, Computers & Operations Research, vol. 27, 2000, pp. 1131-1152. |
Wood, Greg, “Top Streaming Technologies for Data Lakes and Real-Time Data”, http://blog.zaloni.com/top-streaming-technologies-for-data-lakes-and-real-time-data, Sep. 20, 2016 in 3 pages. |
Working, Holbrook, “Statistical Laws of Family Expenditure”, Journal of the American Statistical Association, pp. 43-56, vol. 38, American Statistical Association, Washington, D.C., Mar. 1943. |
Yang, et al., “An Analysis of the Ex Ante Probabilities of Mortgage Prepayment and Default”, Real Estate Economics, Dec. 1998, vol. 26, No. 4, pp. 651-676. |
Yücesan et al., “Distributed Web-Based Simulation Experiments for Optimization”, Simulation Practice and Theory 9, Oct. 2001, pp. 73-90. |
Zapier, “Integrate Your Web Services,” http://www.Zapier.com printed Feb. 18, 2013 in 3 pages. |
Zimmerman et al., “A Web-Based Platform for Experimental Investigation of Electric Power Auctions,” Decision Support Systems, Jan. 1999, vol. 24, pp. 193-205. |
Zoot—Instant Rules GUI, www.zootweb.com/instant_rules_GUI.html as printed Mar. 3, 2008. |
Zoot—Rules Management GUI, www.zootweb.com/business_rules_GUI.html as printed Mar. 3, 2008. |
International Search Report and Written Opinion for Application No. PCT/US2007/06070, dated Nov. 10, 2008. |
International Search Report and Written Opinion for Application No. PCT/US2018/016258, dated May 16, 2018. |
International Preliminary Report on Patentability in Application No. PCT/US2018/016258, dated Aug. 15, 2019. |
International Search Report and Written Opinion for Application No. PCT/US2018/061877, dated Mar. 8, 2019. |
International Preliminary Report on Patentability in Application No. PCT/US2018/061877, dated Jun. 4, 2020. |
International Search Report and Written Opinion for Application No. PCT/US2019/049377, dated Dec. 20, 2019. |
Provisional Application as filed in U.S. Appl. No. 60/168,272, dated Dec. 1, 1999 in 14 pages. |
Provisional Application as filed in U.S. Appl. No. 60/168,276, dated Dec. 1, 1999 in 82 pages. |
Provisional Application as filed in U.S. Appl. No. 60/213,367, dated Jun. 23, 2000 in 20 pages. |
Application as filed in U.S. Appl. No. 09/653,595, dated Aug. 31, 2000. |
International Search Report and Written Opinion for Application No. PCT/US2007/063822, dated Sep. 11, 2007. |
International Search Report and Written Opinion for Application No. PCT/US2007/063823, dated Oct. 24, 2007. |
International Search Report and Written Opinion for Application No. PCT/US2007/063824, dated Oct. 3, 2007. |
Delamaire et al., “Credit Card Fraud and Detection Techniques: A Review”, Banks and Bank Systems, vol. 4, No. 2, 2009, pp. 57-68. |
Gustafsson et al., “Always Best Connected”, 3G Mobile Network Technologies and Experiences, IEEE Wireless Communications, Feb. 28, 2003, vol. 10, No. 1, pp. 49-55. |
Hu et al. “Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches”, Victims & Offenders, 2021, vol. 16, No. 4, pp. 465-494. |
Poon, Martha Ann, “What Lenders See—A History of the Fair Isaac Scorecard”, UCSD, ProQuest Dissertations Publishing, 2012, pp. 5. [Abstract Only]. |
Skanderson, David M., “Managing Discrimination Risk of Machine Learnng and AI Models”, ABA Journal of Labor & Employment Law, 2021, pp. 339-360. |
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