Report existence monitoring

Information

  • Patent Grant
  • 10937090
  • Patent Number
    10,937,090
  • Date Filed
    Tuesday, July 17, 2018
    6 years ago
  • Date Issued
    Tuesday, March 2, 2021
    3 years ago
Abstract
Certain consumers may not have a credit report and, thus, may not be able to enroll in a credit monitoring service. A credit report monitoring system requests a credit report of consumers that are attempting to enroll in a credit monitoring service. If no credit report is located for the consumer, a credit report of the consumer is automatically periodically requested by the system. When a credit report is later located, the consumer may continue with enrollment in a credit report monitoring service. In this way, the consumer is alerted of the (possibly fraudulent) creation of a credit report and is quickly able to enroll in a credit monitoring service.
Description
BACKGROUND OF THE INVENTION
Field of the Invention

This invention relates to systems and methods for detecting the existence of a credit report.


Description of the Related Art

Identity theft is the act of acquiring a consumer's personal information, such as an account number, driver's license, health insurance card, or Social Security number, and using the information to commit fraud or theft. Identity theft is one of the fastest growing crimes in the nation. In 2007, the Federal Trade Commission estimated that as many as 9 million Americans have their identities stolen each year. Identity thieves may rent an apartment, obtain a credit card, clone an ATM or debit card and make electronic withdrawals, take out major loans and not pay off the lender, and establish a telephone account, as well as engage in a number of other fraudulent activities. A consumer may not find out about the identity theft until a debt collector contacts the consumer.


Consumers may enroll in credit monitoring services to protect their identities from theft. Credit monitoring services periodically check the credit report of the enrolled consumer and provide the enrolled consumer with updated credit reports so that the consumer may detect activities that appear fraudulent. However, enrollment in those services requires the existence of a credit report. If a credit report does not exist for a consumer, for example the elderly or expatriates, then the consumer cannot enroll in the service. Also, if the report is unavailable at the time enrollment is attempted, because of a system glitch or a data error, for example, then a consumer would also be refused enrollment. Thus, these consumers would be left without the protection of a credit monitoring service, which may result in a theft of their identity not being immediately noticed.


SUMMARY OF THE INVENTION

The systems, methods, and devices of the invention each have several aspects, no single one of which is solely responsible for its desirable attributes. Without limiting the scope of the invention, certain features will now be discussed briefly.


In one embodiment, a computerized method of enrolling a consumer in a credit monitoring service, the credit monitoring service providing periodic notifications to enrolled consumers regarding changes to their respective credit reports, comprises (a) providing a user interface to a consumer, (b) receiving enrollment information from the consumer via the user interface, the enrollment information comprising one or more of: a name, a social security number, and an address of the consumer, (c) transmitting a credit report request to a credit bureau, the credit report request comprising at least some of the enrollment information, (d) receiving an indication that the credit bureau did not locate a credit report of the consumer, (e) notifying the consumer that a credit report was not located by the credit bureau, (f) after a predetermined time, requesting a credit report of the consumer from the credit bureau, and, if a credit report is not returned in response to the request, returning to step (f), or, if a credit report is returned in response to the request, continuing enrollment of the consumer in the credit monitoring service.


In one embodiment, a computerized method of enrolling a consumer in a service that requires the existence of a credit report comprises receiving an indication from one or more credit bureaus that a credit report for the consumer is not available, periodically requesting a credit report of the consumer from the one or more credit bureaus, and, if a credit report of the consumer is located, continuing enrollment of the consumer in the service.


In one embodiment, a computerized method of monitoring the existence of a credit report for a consumer comprises requesting a credit report for a consumer from one or more credit bureaus, receiving an indication from the one or more credit bureaus that a credit report for the consumer is not available, and, after a predetermined time period, requesting a credit report for the consumer from the one or more credit bureaus, receiving an indication from the one or more credit bureaus that a credit report for the consumer is not available, and repeating the request of a credit report for the consumer until a credit report for the consumer is available.


In one embodiment, a system for enrolling a consumer in a credit monitoring service comprises an enrollment module configured to receive enrollment information for a consumer and to enroll the consumer in a credit monitoring service and a report existence module configured to request a credit report of the consumer from one or more credit bureaus wherein in response to receiving an indication that no credit report is available for the consumer, the report existence module is configured to periodically re-request a credit report of the consumer and, in response to receiving an indication that a credit report is available for the consumer, continuing enrollment of the consumer in the credit monitoring service.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1A is a block diagram illustrating one embodiment of a credit bureau in communication with one or more consumer computing devices via a network.



FIG. 1B is a block diagram illustrating one embodiment of a report existence system in communication with a consumer and a credit bureau via a network.



FIG. 1C is a block diagram illustrating one embodiment of a report existence system in communication with a consumer and a plurality of credit bureaus.



FIG. 2 is a block diagram of one embodiment of a credit report monitoring system.



FIG. 3 is a flowchart illustrating one embodiment of a method of enrolling a consumer in a credit report monitoring service.



FIG. 4 is a flowchart illustrating another embodiment of a method of enrolling a consumer in a credit report monitoring service.



FIG. 5 is a flowchart illustrating one embodiment of a method of monitoring the existence of a credit report for a consumer.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

Embodiments of the invention 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 invention. Furthermore, embodiments of the invention may include several novel features, no single one of which is solely responsible for its desirable attributes or which is essential to practicing the inventions herein described.



FIG. 1A is a block diagram illustrating one embodiment of a credit bureau 140 in communication with one or more consumer computing devices 130A, 130B, 130C (also referred to herein as simply the “consumer 130A, 130B, 130C” or the “consumers 130A, 130B, 130C”), via a network 160. Computing devices, as used herein, may include desktop computers, laptops, servers, personal digital assistants, cellular phones, and/or any other computing device. The network 160 may comprise one or more wired or wireless networks or both, such as any combination of one or more LANs, WANs, MANs, or the Internet.


In the embodiment of FIG. 1A, a credit bureau 140 includes a credit report monitoring system 170. The credit bureau 140, or more specifically, the credit monitoring system 170, receives enrollment information from a consumer 130A, 130B, or 130C, who wishes to enroll in a credit report monitoring service. As used herein, enrollment information comprises any information that may be used to establish the identity and/or to obtain a credit report of a consumer 130A, 130B, 130C, and may include, for example, name, previous names, dates of birth, address, previous addresses, Social Security number, account numbers, credit card numbers, and/or driver's license number.


In general, a credit monitoring service (e.g., provided by the credit report monitoring system 170) allows a consumer, once enrolled in the monitoring service, to access an updated version of their credit report at any time. Thus, a consumer 130A, 130B, 130C can review their credit score and credit-related activities that are reported on a credit report as frequently as they would like, such as daily, weekly, monthly, etc. In addition, credit monitoring services may provide notifications, such as messages on a web based user interface, emails, and/or text messages, to the enrolled consumer when there are changes to the consumer's credit report, or possibly only when there are certain types of changes to the consumer's credit report. Thus, enrolled consumer may be alerted of fraudulent use of their identity promptly after the fraudulent use occurs, so that the fraudulent use may be immediately dealt with and further fraudulent uses may be limited or prevented. Credit monitoring services may be especially beneficial to consumers that have had their personal information lost or stolen as part of a data breach, which typically involves the loss or theft of the personal data of hundreds or thousands of consumers.


However, in order to enroll in a credit monitoring service (e.g., provided by the credit report monitoring system 170), the consumer 130A, 130B, 130C often must have a credit report, and there are several reasons why the credit report may not be available for a consumer. These reasons generally fall into two categories: 1) the consumer does not have a credit report, which includes those consumers that have never had a credit report and those consumers that have previously had a credit report but currently do not have a credit report, due to extended periods of no activity in their credit files, such as the elderly and expatriates, for example, and 2) the credit report is not currently available, such as due to a system glitch or a data error in a credit bureau 140, for example.


A report existence system 150 may periodically check for the existence of a credit report for a consumer 130A, 1308, 130C. Upon finding a credit report for a consumer 130A, 130B, 130C, the report existence system 150 may provide the report to the credit report monitoring system 170 and/or the consumer 130A, 130B, 130C. The credit report monitoring system 170 may complete the enrollment of the consumer 130A, 130B, 130C after receiving the credit report. The report existence system 150 may also notify the consumer 130A, 130B, 130C when no credit report is found.


For example, a consumer named Bill Jones has served abroad in the military for 8 years before returning to the U.S. Upon his return, Bill does not have a credit report on record at any of the credit bureaus. Bill typically donates to a charity for fallen soldiers. Unfortunately, the charity to which Bill donates had a data breach in which personal information of the charity's donors were stolen. Bill, after being advised of the data breach, wishes to enroll in a credit monitoring service. However, because Bill does not have a credit report, he is not qualified to enroll in a credit monitoring service. Bill can choose to periodically attempt to enroll in a credit monitoring service, in an attempt to determine if his personal information has been used to open a new credit account, for example, which would result in creation of a credit report for Bill. However, the manual re-application for a credit monitoring service may be tedious and will likely not be performed frequently. Thus, Bill may not be aware of fraudulent use of his personal information until weeks, months, or years after the fraudulent use occurs. Thus, Bill needs some way to keep apprised of fraudulent use of his personal information (other than enrolling in a credit monitoring service for which he is currently not eligible for). As discussed in further detail below a report existence system 150 advantageously periodically determines if a credit report has been created for a consumer and, in response to detecting a credit report for a consumer that previously did not have a credit report, alerts the consumer of the credit report creation and may provide the consumer with an opportunity to complete enrollment in a credit monitoring service. With such a report existence monitoring service, Bill does not need to repeatedly attempt to enroll in the credit monitoring service in order to determine if a credit report using his personal information has been created. Rather, the report existence system 150 automatically detects when a credit report has been create for Bill and notifies him of such event.


Illustrative Embodiments

In the embodiment of FIG. 1A, a consumer 130A represents an exemplary victim of a data breach that wishes to enroll in a credit monitoring service, (e.g., provided by the credit report monitoring system 170), a consumer 130B represents an exemplary person who knows that they do not have a credit report, such as an elderly person or an expatriate, and a consumer 130C represents a person that has lost one or more documents that contains personally identifying information, such as a driver's license, credit card, Social Security card, or a wallet or a purse that contains such personally identifying information. Additionally, other consumers that are interested in enrolling in a credit monitoring service may have been a victim of identity theft in the past or just have a great deal of concern for their credit report.


In one embodiment, the credit bureau 140 is an entity that collects information from various sources and provides consumer credit information on individual consumers. The credit bureau 140 may be Experian, TransUnion, Equifax, any agency thereof, or any other entity that provides credit reports. As used herein, credit report or credit file is defined to include any credit-related data, including data from credit files, credit reports, and any other credit-related information. For ease of description, certain exemplary systems and methods are described herein with reference to credit reports. These references to a credit report should be interpreted to include embodiments directed to any subset of credit data in a credit file or a credit report, soft inquiry data, or any additional credit data that may not be included in a credit report.


The credit bureau 140 may comprise one or more computing devices. Additionally, the credit bureau 140 may be configured to request and/or collect information, such as credit data and/or consumer information, from various sources, including other credit bureaus, and then store the information on one or more computer readable medium. The credit bureau 140 may be configured to respond to requests and/or queries from a consumer 130 or credit report monitoring system 170, and may also be configured to perform other operations, such as enrolling a consumer in a credit report monitoring service (e.g., provided by the credit report monitoring system 170).


The credit bureau 140 may be configured to request and/or receive enrollment information from one or more consumers 130A, 130B, 130C. In one embodiment, the credit bureau 140 requests the enrollment information via a user interface that is accessible over a network, and the consumer provides the enrollment information on the web user interface. In other embodiments, the one or more consumers 130A, 1308, 130C may provide the enrollment information through communication with an employee of credit monitoring service, such as through normal mail or phone conversation, for example, and the employee may then access a user interface to provide the information to the credit bureau 140.


In some embodiments, the credit bureau 140 comprises a credit report monitoring system 170. The credit report monitoring system 170 may include one or more computing devices. The credit report monitoring system 170 may receive enrollment information from a consumer 130A, 130B, 130C via the credit bureau 140, or via direct communication between the one or more consumers 130A, 130B, 130C using a web interface provided by the credit report monitoring system 170, the telephone, or direct communication with an employee of the credit report monitoring service. In other embodiments, the information may be provided through a storage device, such as an optical disk a disk drive, a jump drive, and/or a hard drive. Once the credit report monitoring system receives the information, it may store a copy of part of or all of the information in a computer-readable storage medium, such as another hard drive, optical disk, and/or other memory.


In one embodiment, the credit report monitoring system 170 is configured to monitor the credit report of an enrolled consumer and provide alerts to the enrolled consumer. The credit report monitoring system 170 may be configured to access a consumer's credit report (such as by requesting a credit report from a credit bureau 140) and identify alerts for the consumer on a periodic basis, such as daily, every three days, weekly, bi-weekly, monthly, bi-monthly, or according to any other period of time. Depending on the embodiment, the period may be selected by the consumer 130A, 130B, 130C. Upon finding suspicious activity in the credit report of one or more consumers 130A, 130B, 130C, the credit report monitoring system 170 may be configured to notify the respective one or more consumers 130A, 130B, 130C of the suspicious activity. The notification may be sent via any correspondence, such as email, paper mail, phone call, first person conversation, a web interface, fax, and/or SMS message. The method of sending the notification may be selectively chosen by the one or more consumers 130A, 130B, 130C. Suspicious activity may include the opening of a new revolving or installment account, opening new credit cards, applying for a loan, opening a new telephone account, or making new charges on existing accounts that are larger than the typical charges made on the account, the availability of a credit report when no credit report was available before, and/or any other changes between a current credit report and one or more previous credit reports.


In the embodiment of FIG. 1A, the credit report monitoring system 170 includes a report existence system 150. The report existence system 150 may include one or more computing devices. Depending on the embodiment, the report existence system 150 may be configured to communicate with one or more credit monitoring systems 170 and/or one or more credit bureaus 140. This communication may take place via a network, such as a wired or wireless network.


The report existence system 150 may be configured to request a credit report for the consumer 130A, 1308, 130C, either once or multiple times, such as periodic requests. The report existence system 150 may also evaluate a reply to a credit report request, determine when no credit report exists for a consumer 130, and initiate storage of that information and related information, such as the time of determination and any returned credit report. The report existence system 150 may also return this information (and a credit report, if found) either by request or automatically, to one or more credit bureaus 140, one or more credit report monitoring systems 170, and/or the respective consumer 130A, 1308, 130C.


In FIG. 1A, one or more consumers attempt to enroll in a credit report monitoring service 170 provided by the credit bureau 140 by transmitting enrollment information over a web-based user interface, for example. As noted above, in order for a consumer 130A, 130B, 130C to enroll in a credit monitoring service (e.g., provided by the credit report monitoring system 170), the consumer may need to have a credit report, but a credit report may not be available. Thus, those consumers 130A, 130B, 130C for whom a credit report cannot be located may be denied enrollment in the credit report monitoring service 170.


Advantageously, for those consumers 130A, 130B, 130C that do not currently have a credit report, the report existence system 150 may periodically check for the existence of a credit report. The period may be any interval of time, such as one day, five days, one week, 2 weeks, one month, two months, or any other period of time. In one embodiment, the period may be selectively chosen by the one or more consumers 130A, 130B, 130C. When a credit report for the one or more consumers 130A, 130B, 130C is located by the report existence system 150, the credit report monitoring system 170 may be notified by the report existence system 150. In one embodiment, when the report existence system 150 returns a credit report for one or more consumers 130A, 130B, 130C to the credit report monitoring system 170, the credit report monitoring system 170 automatically completes the enrollment of the respective one or more consumers 130A, 130B, 130C. The report monitoring system 170 may notify the respective one or more consumers 130A, 130B, 130C of their successful enrollment in the credit report monitoring service. In some embodiments, if no credit report is located when the report existence system requests a credit report for a consumer 130A, 130B, 130C, the report existence system 150 may notify the respective consumer 130A, 130B, 130C that no credit report exists. Such a notification may be transmitted each time the report existence system 150 checks for the existence of a credit report, or according to some other schedule, such as monthly, or by request from the consumer 130A, 130B, 130C.



FIG. 1B is a block diagram illustrating one embodiment of a report existence system 150 in communication with a consumer 130D and a credit bureau 140 via the network 160. This embodiment may allow consumers 130D that currently do not have a credit report to monitor the lack of existence of a credit report. These consumers 130D may include those that have never had a credit report, for example children, and those consumers that have previously had a credit report but currently do not have a credit report due to extended periods of no activity in their credit files, for example, such as might be the case for the elderly and expatriates. In the embodiment of FIG. 1B, the report existence system 150 may receive enrollment information directly from the consumer 130 via a web user interface that the consumer 130D may access over the network 160. The user interface may allow the consumer to provide enrollment information to the user interface through features on the interface, such as text entry fields, drop down menus, check boxes, and or buttons, and then the interface may allow the user to submit the information to the report existence system 150. In other embodiments, the enrollment information is received from a credit report monitoring system 170 (not shown) and/or a credit bureau 140.


After receiving the enrollment information from the consumer 130D, the report existence system 150 may send a request to the credit bureau 140, for example over the network, for a credit report for the consumer 130D. In one embodiment, the requests are sent periodically, for example every day. In other embodiments, periodic requests are sent hourly, weekly, monthly, or any other period of time.


Additionally, in one embodiment periodic notifications may be transmitted to the consumer 130D indicating that a credit report was not located. If a credit report was located, the report existence system 150 may provide a notification that a credit report was located and/or a copy of the located credit report.


In one embodiment, if a credit report for the consumer 130D was located then the report existence system 150 sends the consumer 130D information regarding fraud resolution services and/or credit monitoring services. Depending on the embodiment, the report existence system 150 may also be included in or affiliated with a credit bureau 140 and/or a credit report monitoring system 170. Advantageously, this embodiment allows those consumers who know that they do not have a credit report to be immediately notified if a credit report is created using their identification information and respond quickly to limit the effects of the unauthorized use of their identification information.



FIG. 1C is a block diagram illustrating an exemplary embodiment of a report existence system 150 in communication with a consumer 130E and a plurality of credit bureaus 140. The plurality of credit bureaus 140 may comprise Experian, TransUnion, Equifax, any agency thereof, or any other entity that provides credit-related data. In this embodiment, the report existence system 150 may send a request, and, depending on the embodiment, periodically requests, for a credit report of the consumer 130E to one or more of the plurality credit bureaus 140. In one embodiment, a request for a credit report is transmitted to multiple, e.g., two, three, or more, of the credit bureaus 140. The one or more credit bureaus 140 may reply to the report existence system with the credit report for the consumer 130 and/or a notification that a credit report was found or with a notification that no credit report for the consumer 130 exists.


In some circumstances, one credit bureau 140 may have a credit report for the consumer 130 while other credit bureaus 140 may not have a credit report for the consumer 130. Thus, accessing a plurality of credit bureaus 140 may advantageously provide a more accurate assessment of the existence of a credit report for the consumer 130. Additionally, if the credit bureaus 140 take different amounts of time to receive and process credit data before making a new credit report available to requesting entities, by requesting credit reports from a plurality of credit bureaus 140 the report existence system 150 may more quickly be notified of the existence of a credit report for the consumer 130E by receiving the credit report from the credit bureau 140 that most quickly makes available the credit report for the consumer 130.


In one embodiment, the report existence system 150 sends the consumer 130 a notification that one or more credit bureaus 140 found a credit report and/or one or more credit bureaus 140 did not find a credit report. In embodiments wherein a credit report monitoring system 170 sends a request for a credit report to the report existence system 150, the report existence system 150 may send a credit report to the credit report monitoring system if a credit report is ever available.


System Information



FIG. 2 is a block diagram of one embodiment of a credit report monitoring system 170, also referred to herein as simply “monitoring system.” The credit report monitoring system 170 may be operated by a monitor provider, which in one exemplary embodiment includes a credit bureau. The monitoring system may further comprise human personnel that interact with the computing devices of the monitoring system 170.


In one embodiment, the monitoring system 170 is configured to interface with multiple devices and/or data sources such as in the exemplary network configuration of FIGS. 1A, 1B, and 1C. The monitoring system 170 may be configured to implement certain systems and methods herein. For example, in one embodiment the monitoring system 170 may be configured to periodically request a credit file associated with a consumer 130 from one or more credit bureaus 140. The functionality provided for in the components and modules of the monitoring system 170 may be combined into fewer components and modules or further separated into additional components and modules.


In general, the word modules, as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, possibly having entry and exit points, written in a programming language such as, for example, C, C++, C #. A software modules may be complied and linked into an executable program, installed in a dynamic link library, or may be written in an interpreted programming language such as, for example, BASIC, Java, Perl, or Python. It will be appreciated that software modules may be callable from other modules or from themselves or may be invoked in response to detected events and interrupts, or both. Software instructions may be embedded in firmware, such as an EPROM. It will be further appreciated that hardware modules may be comprised of connected logic units, such as programmable gate arrays or processors. The modules described herein are preferably implemented as software modules, but may be represented in hardware or firmware. Generally, the modules described herein refer to logical modules that may be combined with other modules or devices into sub-modules despite their physical organization or storage.


In one embodiment, the monitoring system 170 includes, for example, a server or personal computer that is IBM, Macintosh, or Linux/Unix compatible. In another embodiment, the monitoring system 170 includes a laptop computer, smart phone, personal digital assistant, or other computing device. The monitoring system 170 may include a memory, such as random access memory (“RAM”) for temporary storage of information, a read only memory (“ROM”) for permanent storage of information, and a mass storage device 220, such as a hard drive, diskette, optical media storage device, or USB flash drive. In certain embodiments, the mass storage device 220 stores the enrollment information for each of a plurality of consumers 130. Typically, the modules of the monitoring system are in communication with each other via 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 monitoring system 170 is generally controlled and coordinated by operating system software, such as Windows 95, 98, NT, 2000, XP, Vista, SunOS, Solaris, Blackberry OS, or other compatible operating systems. In Macintosh systems, the operating system may be any available operating system, such as MAC OS X. In other embodiments, the monitoring system 170 may be controlled by a proprietary operating system. Conventional operating systems control and schedule computer processes for execution, perform memory management, provide file systems, networking, and I/O services, and provide a user interface, such as a graphical user interface (“GUI”), among other functions.


The exemplary monitoring system 170 includes one or more commonly available input/output (I/O) interfaces and devices 210, such as a keyboard, mouse, touchpad, and printer. In one embodiment, the I/O interfaces and devices 210 include one or more display devices, such as a monitor, that allow the visual presentation of data to a user. More particularly, a display device provides for the presentation of GUIs, application software data, and multimedia presentations, for example. The monitoring system 170 may also include one or more multimedia devices 240, such as speakers, video cards, graphics accelerators, and microphones, for example. In one embodiment, the I/O interfaces and devices 210 comprise devices that are in communication with modules of the monitoring system 170 via a network, such as the network 160 or any local area network, including secured local area networks, or any combination thereof.


In the embodiment of FIG. 2, the monitoring system 170 also includes application modules that may be executed by the CPU 205. More particularly, the application modules may include an enrollment module 270, a monitoring module 260, and a reporting module 250. In general, the enrollment module 270 may be configured to interact with consumers 130 (e.g., FIGS. 1A, 1B, 1C) in order to receive enrollment information from the consumers 130 and enroll the consumers 130 in a credit report monitoring service, and may use the I/O interfaces and devices 210 to interface with consumers. The enrollment module may also be configured to initiate storage of any received enrollment information in the mass storage device 220. For example, embodiment, the enrollment module 270 may provide a user interface that consumers may access using a web browser, and the user interface is configured to receive enrollment information and transmit it back to the enrollment module 270. Upon receipt of the enrollment information, the enrollment module 270 may initiate storage of the enrollment information in the mass storage device 220, which may include providing the enrollment information to the standards bus system.


The monitoring module 260 may be configured to determine if changes have been made to a consumer's credit report or determine if a credit report exists for a consumer. In one exemplary embodiment, the monitoring module 260 periodically transmits a request to and receives a reply from one or more credit bureaus 140 over a network 160 (not shown in FIG. 2) using the I/O Interfaces and Devices 210. The request may be for a credit report for one or more consumers, and the reply may be a notification that no credit report was available for one or more consumers, a notification that a credit report was located for one or more consumers, and/or a credit report for one or more consumers. The monitoring module 260 may initiate storage of any and all replies from the one or more credit bureaus 140 in the mass storage device 220. The monitoring module 260 may also initiate retrieval of previous replies received for one or more consumers from the mass storage device 220. Upon receipt of the previous replies, the monitoring module 260 may evaluate the replies, for example by comparing and/or contrasting the most recent reply from the one or more credit bureaus 140 for the a consumer with one or more previously received reply from the one or more credit bureaus 140 for the respective consumer and by detecting any changes between the replies received for the one or more consumers. For example, the monitoring module 260 may be configured to detect the opening of a new bank account, the obtaining of a new loan, or the obtaining of a new credit card that was not included in a previous reply from a credit bureau 140. The monitoring module 260 may also be configured to detect the existence of a credit report for a consumer when no credit report existed previously, for example by detecting the receipt of a credit report when no credit report had previously been received. The monitoring module 260 may initiate the storage of any changes it detects in the mass storage device 220 and/or provide the detected changes to the reporting module 250.


The reporting module 250 may provide notifications to consumers 130 and/or other authorized entities regarding changes in a credit report, the existence of a credit report for the respective consumer, and/or the status of the respective consumer's enrollment in a credit monitoring service. The reporting module 250 may provide this notification through the I/O interfaces and devices, such as by initiating the transmission of an email to the consumers and/or other authorized entities. The notification may be provided according to a predetermined schedule, such as a predetermined period of time and/or in response to detecting suspicious activity. The reporting module 250 may also provide notification through a user interface that consumers and/or authorized entities may access using a web browser. For example, consumers may be able to select a link on a web page provided by a credit report monitoring system 170 that may bring them to a user interface that indicates the results of one or more credit report requests for the respective consumer and/or the results of an evaluation of any returned credit reports.


In other embodiments, the monitoring system 170 may include fewer or additional modules and components, the modules may be incorporated into other computing devices, and/or the modules may be combined into fewer components and modules or further separated into additional components and modules. For example, in the embodiment of FIG. 1C, the report existence monitor 150 may include the reporting module 250 and the monitoring module 260, and/or the monitoring module may be further divided into a monitoring module and a report existence module. Each of these application modules may include, by way of example, components, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.


Overall Process Flow



FIG. 3 is a flowchart 300 illustrating one embodiment of a method of enrolling a consumer 130 (e.g., FIG. 1A) in a credit report monitoring service. The flowchart of FIG. 3 illustrates exemplary processes for enrollment of consumers in a credit monitoring service and receiving a credit report for a consumer. The method of FIG. 3 may be performed by the credit report monitoring system 170, the report existence system 150, and/or any other suitable computing device. Depending on the embodiment, the method of FIG. 3 may include fewer or additional blocks and the blocks may be performed in an order that is different than illustrated in FIG. 3.


Beginning in block 310, enrollment information for a consumer 130 is received. For example, the credit report monitoring system 170 (e.g., FIG. 1A) may generate a user interface including a form that receives enrollment information from consumers and transmits the user interface to the consumer via the network 160. The consumer may receive the enrollment user interface in response to selecting another link on another web site indicating the consumer's desire to enroll in a credit monitoring service. In other embodiments, a request for enrollment information may be made via other mediums, such as email, SMS message, facsimile, telephone call (which may or may not be automated), and/or paper letter, for example.


In block 320 the credit report monitoring system 170 requests a credit report for the consumer. Depending on the embodiment, the request may sent to one or more credit bureaus 140, and the request may include all or part of the enrollment information provided by the consumer. The request may be sent via the network 160, for example, or via other mediums, such as facsimile, telephone call (which may or may not be automated), and/or paper letter.


In block 330, a determination is made if a credit report was located. For example, the credit report monitoring system 170 may receive a reply from a credit bureau 140 which may include a notification that the credit bureau 140 could not locate a credit report for the consumer 130 or which may include a notification that a credit report was located (which may further include the credit report). The credit report monitoring system 170 may evaluate the reply to determine if the credit bureau 140 located a credit report for the consumer 130.


In block 340, if no credit report was located, a credit report may be periodically requested. For example, a report existence system 150 may periodically sends a request to one or more credit bureaus 140 for a credit report of the consumer 130 via the network 160. Depending one the embodiment, the period may be hourly, daily, bi-weekly, monthly bi-monthly, or any other period of time. After a request is made, in block 330 the determination may again be made if a credit report was located. Periodic requests may be made for a predetermined amount of time, for example a year, or a predetermined number of times, such as 10 times, or they may be made as long as requested by the consumer.


In block 350, if a credit report has been located for the consumer, the enrollment of the consumer in a credit monitoring service continues. In one embodiment, the credit report monitoring system 170 continues the enrollment of the consumer after receiving a credit report and/or a notification that a credit report exists. A credit report for the consumer may be located in response to the first request for a credit report, for example, or may be located a day later, a month later, a year later, or any other period of time later.



FIG. 4 is a flowchart 400 illustrating another embodiment of a method of enrolling a consumer 130 (e.g., FIG. 1A) in a credit report monitoring service. Certain blocks of the flowchart may be performed by the credit report monitoring system 170, the report existence system 150, and/or any other suitable computing device. Depending on the embodiment, the method of FIG. 4 may include fewer or additional blocks and the blocks may be performed in an order that is different than illustrated in FIG. 4.


Beginning in block 410, a data breach occurs. In one embodiment, the data breach involves the theft or loss of data that includes personally identifiable information. The entity whose data is breached may be any entity that stores the personal information of consumers, including, for example, businesses, non-profit organizations, schools, churches, civic groups, government organizations, and health care providers. The data may be stored on any medium, including digital media, such as hard drives, USB jump drives, optical storage devices, lap tops, computer tapes, or diskettes. Alternatively, the data may be intercepted while being transmitted via a network, such as one or more of the following: LANs, WANs, MANs, or the Internet, or the data may be acquired over a network by defeating or circumventing security measures of a device that is configured to store data on digital media and communicate with the network. In other embodiments, the data breach may involve the theft or other loss of data that is stored on non-digital records, such as paper records.


The breached personal information may include, any information regarding a consumer, such as, for example, name, maiden name, signature, Social Security number, address, phone number, date of birth, credit card number(s), debit card number(s), bank account number(s), other account numbers, identification number(s), names of family members, academic records, credit score, and/or medical records.


In block 420, the enrollment information of consumers 130 affected by the data breach is provided to the monitoring system 170. In one embodiment, the consumer 130 provides the enrollment information to the monitoring system 170, such as via a web interface or a telephone. In other embodiments, the entity whose data was breached may provide the enrollment information of the consumer 130 to the credit report monitoring system 170. In some embodiments, the entity whose data was breached may pay a fee associated with enrollment. Depending on the embodiment, the credit report monitoring system 170 may be a part of or affiliated with a credit bureau 140.


In block 430, a request is made for a credit report for a consumer. In one embodiment, the credit report monitoring system 170 sends a request for the credit report to one or more credit bureaus 140. Depending on the embodiment, the credit monitoring system 170 may include a report existence system 150 (e.g., FIG. 1A), which sends the request for the credit report to the one or more credit bureaus 140.


In block 440, a determination is made if a credit report was found for the consumer. For example, the monitoring system 170 may determine if the one or more credit bureaus 140 returned a credit report for the consumer 130. In one illustrative embodiment, the monitoring system 170 may determine that a credit report was found if a credit report or an indication of the availability of a credit report was returned by the one or more credit bureaus 140.


If no credit report if found in block 440, in block 460 periodic request for a credit report are made. In one exemplary embodiment, the report existence system 150 periodically sends a request to one or more credit bureaus 140 for a credit report of the consumer 130. The period may be one hour, a day, two days, one week, two weeks, one month, or any other period. In one embodiment, the frequency at which credit reports for a consumer is requested changes over time, such as requesting credit reports daily for a first few days, then weekly for a few weeks, and then monthly until a credit report is found or the periodic requests are discontinued. Upon receiving the response of the credit bureau 140 to the periodic request for a credit report, the method may return to block 440 to determine if a credit report was located.


In block 450, the enrollment of the consumer 130 in a credit report monitoring service is continued. In one embodiment, all of the remaining enrollment information from the consumer 130 has already been received by a credit report monitoring system 170, for example when the consumer 130 initially attempted to enroll in the credit monitoring service, and the credit monitoring service 170 may continue enrollment of the consumer 130 in the credit monitoring service without further communication with the consumer 130. In other embodiments the credit report monitoring system 170 may need to acquire at least some enrollment information from the consumer 130 prior to or as a part of completing enrollment.



FIG. 5 is a flowchart 500 illustrating one embodiment of a method of monitoring the existence of a credit report for a consumer 130. The exemplary method illustrated in FIG. 5 may be performed, for example, for consumers who would like to monitor the non-existence of a credit report. Certain blocks of the flowchart may be performed by the credit report monitoring system 170, the report existence system 150, and/or any other suitable computing device. Depending on the embodiment, the method of FIG. 5 may include fewer or additional blocks and the blocks may be performed in a different order than is illustrated.


In block 510, enrollment information for a credit report existence service is received. The enrollment information may be received, for example, by a report existence system 150, a credit monitoring system 170, and/or a credit bureau 140. In one embodiment, the consumer 130 may supply the enrollment information, and in other embodiments, an entity whose data has been breached may provide the enrollment information.


In block 520, a request is sent to one or more credit bureaus 140 for a credit report for a consumer, using any of the means explained above. In one exemplary embodiment, the request is sent by a report existence system 150.


In block 530, the credit report existence system, for example, determines if a credit report is located. In one embodiment, the report existence system 150 determines if the credit bureau 140 located or returned a credit report for the consumer 130.


In block 540, if the response of the credit bureau 140 indicates that no credit report for the consumer 130 was located and/or available, the consumer may be notified that no credit report has been located. The notification may be sent by the report existence system 150, the credit report monitoring system 170, and/or the credit bureau 140. A consumer may be notified after each determination is made that a credit report is located, after a predetermined subset of determinations, or according to a periodic schedule, for example each month. In other embodiments, consumers may not be notified if no credit report is located. In block 550 periodic requests for a credit report are transmitted to one or more credit bureaus 140. In some embodiments, blocks 530, 540, and 550 are repeated until a credit report for the consumer is located.


In block 560, when a credit report has been located for a consumer, the consumer 130 is notified that a credit report was located. The notification may include a copy of the credit report. In block 570, the consumer 130 may be provided with information regarding fraud resolution and/or credit monitoring services. In other embodiments, the consumer 130 may be provided the information via a web page or via first person contact. In one embodiment, the fraud resolution services or credit monitoring services or both services are offered by a credit bureau, such as Experian, TransUnion, Equifax, or any agency thereof.


The foregoing description details certain embodiments of the invention. It will be appreciated, however, that no matter how detailed the foregoing appears in text, the invention can be practiced in many ways. As is also stated above, it should be noted that the use of particular terminology when describing certain features or aspects of the invention should not be taken to imply that the terminology is being re-defined herein to be restricted to including any specific characteristics of the features or aspects of the invention with which that terminology is associated. The scope of the invention should therefore be construed in accordance with the appended claims and any equivalents thereof.

Claims
  • 1. A non-transitory computer readable medium storing software computer executable instructions that, when performed by one or more processors, perform the following method: receiving an indication of a data breach relating to at least a plurality of consumers, wherein the data breach includes a theft or loss of data;receiving enrollment information from the plurality of consumers subject to the data breach to enroll into a credit monitoring service;requesting credit reports relating to the plurality of consumers associated with the data breach;receiving a first set of credit reports for a first subset of the plurality of consumers associated with the data breach from a first credit bureau;determining that (a) the first subset of the plurality of consumers each have a credit file, and (b) a second subset of the plurality of consumers each do not have a credit file;for each individual consumer of the first subset of the plurality of consumers: periodically requesting a credit report for the individual consumer of the first subset of the plurality of consumers associated with the data breach from the first credit bureau;receiving an updated credit report for the individual consumer associated with the data breach from the first credit bureau;comparing the updated credit report with a credit report for the individual consumer in the first set of credit reports;identifying a change in the updated credit report and the credit report in the first set of credit reports based on the comparison, wherein the change is related to at least one of: a bank account, a loan, a credit card account, or a telephone number;generating user interface data for notifying the individual consumer of the identified change, wherein the user interface data includes: a limited subset of data of the updated credit report or the credit report in the first set of credit reports that have the identified change; anda selectable link to be displayed on a webpage, wherein the selectable link is configured to launch a user interface that displays additional information regarding the identified change; andinitiating display of the user interface data including the limited subset of data and the selectable link; andfor the second subset of the plurality of consumers that do not have a credit file: on a periodic basis, transmitting a request for a credit report for each consumer of the second subset of the plurality of consumers; andin response to identifying a credit report of an individual consumer of the second subset, automatically completing enrollment of the individual consumer in a credit monitoring service based on the received enrollment information corresponding to the individual consumer.
  • 2. The non-transitory computer readable medium of claim 1, wherein generating the user interface data is in response to identifying a particular change between the credit report in the first set of credit reports and the updated credit report.
  • 3. The non-transitory computer readable medium of claim 1, wherein initiating display of the user interface data comprises transmitting the user interface data to a computing device of the individual consumer.
  • 4. The non-transitory computer readable medium of claim 3, wherein the user interface data comprises an email.
  • 5. The non-transitory computer readable medium of claim 1, wherein the user interface data is viewable in a web browser.
  • 6. The non-transitory computer readable medium of claim 1, wherein the credit report in the first set of credit reports and the updated credit report is received via a network.
  • 7. A method comprising: receiving an indication of a data breach relating to at least a plurality of consumers, wherein the data breach includes a theft or loss of data;receiving enrollment information from the plurality of consumers subject to the data breach to enroll into a credit monitoring service;requesting credit reports relating to the plurality of consumer associated with the data breach;receiving a first set of credit reports for a first subset of the plurality of consumers associated with the data breach from a first credit bureau;determining that (a) the first subset of the plurality of consumers each have a credit file, and (b) a second subset of the plurality of consumers each do not have a credit file;for each individual consumer of the first subset of the plurality of consumers: periodically requesting a credit report for the individual consumer of the first subset of the plurality of consumers associated with the data breach from the first credit bureau;receiving an updated credit report for the individual consumer associated with the data breach from the first credit bureau;comparing the updated credit report with a credit report for the individual consumer in the first set of credit reports;identifying a change in the updated credit report and the credit report in the first set of credit reports based on the comparison, wherein the change is related to at least one of: a bank account, a loan, a credit card account, or a telephone number;generating user interface data for notifying the individual consumer of the identified change, wherein the user interface data includes: a limited subset of data of the updated credit report or the credit report in the first set of credit reports that have the identified change; anda selectable link to be displayed on a webpage, wherein the selectable link is configured to launch a user interface that displays additional information regarding the subset of data indicative of the identified change; andinitiating display of the user interface data including the limited subset of data and the selectable link; andfor the second subset of the plurality of consumers that do not have a credit file: on a periodic basis, transmitting a request for a credit report for each consumer of the second subset of the plurality of consumers; andin response to identifying a credit report of an individual consumer of the second subset, automatically completing enrollment of the individual consumer in a credit monitoring service based on the received enrollment information corresponding to the individual consumer.
  • 8. The method of claim 7, wherein generating the user interface data is in response to identifying a particular change between the credit report in the first set of credit reports and the updated credit report.
  • 9. The method of claim 7, wherein initiating display of the user interface data comprises transmitting the user interface data to a computing device of the individual consumer.
  • 10. The method of claim 9, wherein the user interface data comprises an email.
  • 11. The method of claim 7, wherein the user interface data is viewable in a web browser.
  • 12. The method of claim 7, wherein the credit report in the first set of credit reports and the updated credit report is received via a network.
  • 13. The method of claim 7, further comprising notifying the consumer when the credit report of the individual consumer is received.
  • 14. A system comprising: a memory; andone or more hardware processors configured to: receive an indication of a data breach relating to at least a plurality of consumers, wherein the data breach includes a theft or loss of data;receive enrollment information from the plurality of consumers subject to the data breach to enroll into a credit monitoring service;request credit reports relating to the plurality of consumer associated with the data breach;receive a first set of credit reports for a first subset of the plurality of consumers associated with the data breach from a first credit bureau;determine that (a) the first subset of the plurality of consumers each have a credit file, and (b) a second subset of the plurality of consumers each do not have a credit file;for each individual consumer of the first subset of the plurality of consumers: periodically request a credit report for the individual consumer of the first subset of the plurality of consumers associated with the data breach from the first credit bureau;receive an updated credit report for the individual consumer associated with the data breach from the first credit bureau;compare the updated credit report with a credit report for the individual consumer in the first set of credit reports;identify a change in the updated credit report and the credit report in the first set of credit reports based on the comparison, wherein the change is related to at least one of: a bank account, a loan, a credit card account, or a telephone number;generate user interface data for notifying the individual consumer of the identified change, wherein the user interface data includes: a limited subset of data of the updated credit report or the credit report in the first set of credit reports that have the identified change; anda selectable link to be displayed on a webpage, wherein the selectable link is configured to launch a user interface that displays additional information regarding the subset of data indicative of the identified change; andinitiate display of the user interface data including the limited subset of data and the selectable link; andfor the second subset of the plurality of consumers that do not have a credit file: on a periodic basis, transmit a request for a credit report for each consumer of the second subset of the plurality of consumers; andin response to identifying a credit report of an individual consumer of the second subset, automatically complete enrollment of the individual consumer in a credit monitoring service based on the received enrollment information corresponding to the individual consumer.
INCORPORATION BY REFERENCE TO ANY PRIORITY APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 12/349,455, filed Jan. 6, 2009. 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.

US Referenced Citations (766)
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
4876592 Von Kohorn Oct 1989 A
4891503 Jewell Jan 1990 A
4895518 Arnold Jan 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
5060153 Nakagawa Oct 1991 A
5148365 Dembo Sep 1992 A
5220501 Lawlor et al. Jun 1993 A
5239462 Jones et al. Aug 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
5336870 Hughes et al. Aug 1994 A
5361201 Jost et al. Nov 1994 A
5504675 Cragun et al. Apr 1996 A
5521813 Fox et al. May 1996 A
5563783 Stolfo et al. Oct 1996 A
5583763 Atcheson et al. Dec 1996 A
5590038 Pitroda Dec 1996 A
5611052 Dykstra et al. Mar 1997 A
5615408 Johnson Mar 1997 A
5630127 Moore et al. May 1997 A
5640577 Scharmer Jun 1997 A
5659725 Levy et al. Aug 1997 A
5659731 Gustafson Aug 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
5745654 Titan Apr 1998 A
5745706 Wolfberg et al. Apr 1998 A
5748098 Grace May 1998 A
5774868 Cragun et al. Jun 1998 A
5774883 Andersen Jun 1998 A
5793972 Shane Aug 1998 A
5802142 Browne Sep 1998 A
5819226 Gopinathan et al. Oct 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
5884287 Edesess Mar 1999 A
5884289 Anderson et al. Mar 1999 A
5912839 Ovshinsky et al. Jun 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
5953707 Huang et al. Sep 1999 A
5953710 Fleming Sep 1999 A
5956693 Geerlings Sep 1999 A
5966695 Melchione et al. Oct 1999 A
5978780 Watson Nov 1999 A
5991411 Kaufman et al. Nov 1999 A
5995947 Fraser et al. Nov 1999 A
6012044 Maggioncalda et al. Jan 2000 A
6014645 Cunningham Jan 2000 A
6021397 Jones et al. Feb 2000 A
6029139 Cunningham et al. Feb 2000 A
6029149 Dykstra et al. Feb 2000 A
6029154 Pettitt 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
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
6128599 Walker Oct 2000 A
6128603 Dent Oct 2000 A
6154729 Cannon et al. Nov 2000 A
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
6249770 Erwin et al. Jun 2001 B1
6253203 O'Flaherty et al. Jun 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
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
6339790 Inoue Jan 2002 B1
6374264 Bohannon et al. Apr 2002 B1
6384844 Stewart et al. May 2002 B1
6385594 Lebda et al. 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
6418436 Degen et al. Jul 2002 B1
6424956 Werbos Jul 2002 B1
6430539 Lazarus et al. Aug 2002 B1
6487540 Smith et al. Nov 2002 B1
5870721 Norris Jan 2003 C1
6513018 Culhane Jan 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
6567791 Lent et al. May 2003 B2
6581075 Guturu et al. Jun 2003 B1
6597775 Lawyer et al. Jul 2003 B2
6611816 Lebda et al. Aug 2003 B2
6615193 Kingdon et al. Sep 2003 B1
6622131 Brown et al. Sep 2003 B1
6622266 Goddard et al. Sep 2003 B1
6629245 Stone et al. Sep 2003 B1
6636803 Hartz, Jr. et al. Oct 2003 B1
6658393 Basch et al. Dec 2003 B1
6714918 Hillmer et al. Mar 2004 B2
6748426 Shaffer et al. Jun 2004 B1
6782390 Lee et al. Aug 2004 B2
6804346 Mewhinney Oct 2004 B1
6805287 Bishop et al. Oct 2004 B2
6823319 Lynch et al. Nov 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
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
6985887 Sunstein et al. Jan 2006 B1
6988085 Hedy Jan 2006 B2
7003476 Samra et al. Feb 2006 B1
7013310 Messing et al. Mar 2006 B2
7016870 Jones et al. Mar 2006 B1
7028052 Chapman et al. Apr 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
7083087 Gangi Aug 2006 B1
7120599 Keyes Oct 2006 B2
7143063 Lent Nov 2006 B2
7165037 Lazarus et al. Jan 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
7249076 Pendleton et al. Jul 2007 B1
7254558 Hinkle et al. Aug 2007 B2
7263497 Wiser et al. Aug 2007 B1
7263506 Lee et al. Aug 2007 B2
7277875 Serrano-Morales et al. Oct 2007 B2
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
7366694 Lazerson Apr 2008 B2
7370044 Mulhern et al. May 2008 B2
7376603 Mayr et al. May 2008 B1
7383215 Navarro et al. Jun 2008 B1
7383988 Slonecker, Jr. Jun 2008 B2
7386466 McLean 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
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
7542993 Satterfield et al. Jun 2009 B2
7546266 Beirne et al. Jun 2009 B2
7552086 Rajasekar et al. Jun 2009 B1
7559217 Bass 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
7672833 Blume et al. Mar 2010 B2
7672865 Kumar et al. Mar 2010 B2
7676418 Chung et al. Mar 2010 B1
7689451 Vives Mar 2010 B2
7689505 Kasower Mar 2010 B2
7689506 Fei et al. Mar 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
7729983 Ellis Jun 2010 B1
7734522 Johnson et al. Jun 2010 B2
7756789 Welker 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
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
7849004 Choudhuri et al. Dec 2010 B2
7853998 Blaisdell 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
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
7941365 Bradley et al. May 2011 B1
7945510 Bradley et al. May 2011 B1
7953213 Babi et al. May 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
7975299 Balducci et al. Jul 2011 B1
7983975 Jones et al. Jul 2011 B2
7987124 Holden et al. Jul 2011 B1
8001034 Chung et al. Aug 2011 B2
8001041 Hoadley et al. Aug 2011 B2
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
8024778 Cash et al. Sep 2011 B2
8032932 Speyer et al. Oct 2011 B2
8055579 Davies et al. Nov 2011 B2
8060424 Kasower Nov 2011 B2
8073768 Haggerty et al. Dec 2011 B2
8078524 Crawford et al. Dec 2011 B2
8078527 Cerise et al. Dec 2011 B2
8086523 Palmer Dec 2011 B1
8095458 Peterson et al. Jan 2012 B2
8099356 Feinstein et al. Jan 2012 B2
8131614 Haggerty et al. Mar 2012 B2
8160960 Fei et al. Apr 2012 B1
8165940 Meimes et al. Apr 2012 B2
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
8285613 Coulter Oct 2012 B1
8290840 Kasower Oct 2012 B2
8311936 Haggerty et al. Nov 2012 B2
8315942 Haggerty 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
8386377 Xiong et al. Feb 2013 B1
8392334 Hirtenstein et al. Mar 2013 B2
8463595 Rehling et al. Jun 2013 B1
8473353 Matsuda et al. Jun 2013 B2
8478686 Giles Jul 2013 B1
8489502 Morris et al. 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
8660919 Kasower Feb 2014 B2
8694420 Oliai Apr 2014 B1
8725613 Celka et al. May 2014 B1
8732004 Ramos et al. May 2014 B1
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
8781975 Bennett et al. Jul 2014 B2
8856894 Dean et al. Oct 2014 B1
8930263 Mahacek et al. Jan 2015 B1
8983867 Stibel et al. Mar 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
9116918 Kim Aug 2015 B1
9213461 Eraker et al. Dec 2015 B2
9256904 Haller et al. Feb 2016 B1
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
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
20010011247 O'Flaherty et al. Aug 2001 A1
20010027413 Bhutta Oct 2001 A1
20010039523 Iwamoto Nov 2001 A1
20010042785 Walker et al. Nov 2001 A1
20010049672 Moore et al. 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 Jun 2002 A1
20020087460 Hornung Jul 2002 A1
20020091650 Ellis Jul 2002 A1
20020099641 Mills et al. Jul 2002 A1
20020099649 Lee 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
20020147669 Taylor et al. Oct 2002 A1
20020147695 Khedkar et al. Oct 2002 A1
20020161711 Sartor et al. Oct 2002 A1
20020165757 Lisser Nov 2002 A1
20020165839 Taylor et al. Nov 2002 A1
20020169747 Chapman Nov 2002 A1
20020174124 Haas et al. Nov 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
20030009426 Ruiz-Sanchez Jan 2003 A1
20030018549 Fei et al. Jan 2003 A1
20030028477 Stevenson et al. Feb 2003 A1
20030041031 Hedy Feb 2003 A1
20030046222 Bard et al. Mar 2003 A1
20030046223 Crawford et al. Mar 2003 A1
20030064705 Desierio Apr 2003 A1
20030065563 Elliott et al. Apr 2003 A1
20030078897 Florance et al. Apr 2003 A1
20030097320 Gordon May 2003 A1
20030097329 Nabe et al. May 2003 A1
20030097380 Mulhern et al. May 2003 A1
20030101111 Dang et al. May 2003 A1
20030115122 Slater et al. Jun 2003 A1
20030149659 Danaher et al. Aug 2003 A1
20030154162 Danaher et al. Aug 2003 A1
20030158751 Suresh 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
20030182214 Taylor 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
20030217003 Weinflash et al. Nov 2003 A1
20030225692 Bosch 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
20040039686 Klebanoff Feb 2004 A1
20040039688 Sulkowski et al. Feb 2004 A1
20040044615 Xue et al. Mar 2004 A1
20040044617 Lu Mar 2004 A1
20040054619 Watson et al. Mar 2004 A1
20040107132 Honarvar et al. Jun 2004 A1
20040111292 Hutchins 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
20040133493 Ford et al. Jul 2004 A1
20040138995 Hershkowitz et al. Jul 2004 A1
20040143546 Wood et al. Jul 2004 A1
20040153437 Buchan 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
20040177046 Ogram Sep 2004 A1
20040186807 Nathans et al. Sep 2004 A1
20040193535 Barazesh Sep 2004 A1
20040199456 Flint et al. Oct 2004 A1
20040215584 Yao Oct 2004 A1
20040230448 Schaich Nov 2004 A1
20040243450 Bernard, Jr. et al. Dec 2004 A1
20040243506 Das Dec 2004 A1
20040243518 Clifton et al. Dec 2004 A1
20040249532 Kelly et al. Dec 2004 A1
20040255127 Arnouse Dec 2004 A1
20050004855 Jenson et al. Jan 2005 A1
20050010513 Duckworth et al. Jan 2005 A1
20050021476 Candella et al. Jan 2005 A1
20050027632 Zeitoun et al. Feb 2005 A1
20050027633 Fortuna et al. Feb 2005 A1
20050055275 Newman et al. Mar 2005 A1
20050065874 Lefner et al. Mar 2005 A1
20050080697 Foss 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
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
20050125686 Brandt 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
20050203768 Florance Sep 2005 A1
20050267840 Holm-Blagg et al. Dec 2005 A1
20050273431 Abel et al. Dec 2005 A1
20050273442 Bennett et al. Dec 2005 A1
20050278246 Friedman et al. Dec 2005 A1
20050278542 Pierson et al. Dec 2005 A1
20050279824 Anderson et al. Dec 2005 A1
20060014129 Coleman et al. Jan 2006 A1
20060031158 Orman Feb 2006 A1
20060041464 Powers et al. Feb 2006 A1
20060059073 Walzak Mar 2006 A1
20060080230 Freiberg Apr 2006 A1
20060080251 Fried et al. Apr 2006 A1
20060080263 Willis et al. Apr 2006 A1
20060095363 May May 2006 A1
20060100954 Schoen May 2006 A1
20060101508 Taylor May 2006 A1
20060123461 Lunt et al. Jun 2006 A1
20060129428 Wennberg Jun 2006 A1
20060131390 Kim Jun 2006 A1
20060149674 Cook et al. Jul 2006 A1
20060155639 Lynch et al. Jul 2006 A1
20060163347 Foss et al. Jul 2006 A1
20060173772 Hayes et al. Aug 2006 A1
20060173792 Glass 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
20060200396 Satterfield et al. Sep 2006 A1
20060204051 Holland, IV Sep 2006 A1
20060212386 Willey et al. Sep 2006 A1
20060229799 Nimmo et al. Oct 2006 A1
20060229943 Mathias et al. Oct 2006 A1
20060229996 Keithley et al. Oct 2006 A1
20060233332 Toms Oct 2006 A1
20060239512 Petrillo Oct 2006 A1
20060241923 Xu et al. Oct 2006 A1
20060242039 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
20060271457 Romain 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
20060294199 Bertholf Dec 2006 A1
20070016500 Chatterji et al. Jan 2007 A1
20070016501 Chatterji et al. Jan 2007 A1
20070016518 Atkinson et al. Jan 2007 A1
20070016522 Wang Jan 2007 A1
20070038483 Wood Feb 2007 A1
20070038568 Greene et al. Feb 2007 A1
20070067206 Haggerty et al. Mar 2007 A1
20070067297 Kublickis Mar 2007 A1
20070072190 Aggarwal Mar 2007 A1
20070078741 Haggerty et al. Apr 2007 A1
20070078908 Rohatgi et al. Apr 2007 A1
20070083463 Kraft Apr 2007 A1
20070093234 Willis 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
20070168267 Zimmerman et al. Jul 2007 A1
20070177768 Tsantes et al. Aug 2007 A1
20070179798 Inbarajan Aug 2007 A1
20070192248 West Aug 2007 A1
20070205266 Carr et al. Sep 2007 A1
20070208640 Banasiak et al. Sep 2007 A1
20070214000 Shahrabi et al. Sep 2007 A1
20070214076 Robida 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
20070288490 Longshaw Dec 2007 A1
20070299770 Delinsky Dec 2007 A1
20070299771 Brody Dec 2007 A1
20080010203 Grant 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
20080103799 Domenikos May 2008 A1
20080109740 Prinsen et al. May 2008 A1
20080133322 Kalia et al. Jun 2008 A1
20080140507 Hamlisch et al. Jun 2008 A1
20080154766 Lewis et al. Jun 2008 A1
20080162383 Kraft 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
20080222015 Megdal et al. Sep 2008 A1
20080222027 Megdal et al. Sep 2008 A1
20080222706 Renaud et al. Sep 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
20080312969 Raines et al. Dec 2008 A1
20090007231 Kaiser et al. Jan 2009 A1
20090012889 Finch Jan 2009 A1
20090018996 Hunt et al. Jan 2009 A1
20090044279 Crawford et al. Feb 2009 A1
20090055322 Bykov et al. Feb 2009 A1
20090063330 Cerise et al. Mar 2009 A1
20090089190 Girulat 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
20090126013 Atwood et al. May 2009 A1
20090132347 Anderson et al. May 2009 A1
20090144160 Haggerty et al. Jun 2009 A1
20090144185 Haggerty et al. Jun 2009 A1
20090158030 Rasti Jun 2009 A1
20090171723 Jenkins Jul 2009 A1
20090210886 Bhojwani et al. Aug 2009 A1
20090222308 Zoldi et al. Sep 2009 A1
20090222375 Choudhuri et al. Sep 2009 A1
20090222377 Choudhuri et al. Sep 2009 A1
20090222379 Choudhuri et al. Sep 2009 A1
20090240624 James et al. Sep 2009 A1
20090271248 Sherman et al. Oct 2009 A1
20090289110 Regen et al. Nov 2009 A1
20090299911 Abrahams 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
20100114744 Gonen May 2010 A1
20100122316 Lyon May 2010 A1
20100145836 Baker et al. Jun 2010 A1
20100145840 Kasower 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
20110004514 Thomas Jan 2011 A1
20110004546 Thomas Jan 2011 A1
20110029427 Haggerty et al. Feb 2011 A1
20110060654 Elliott et al. Mar 2011 A1
20110060673 Delinsky et al. Mar 2011 A1
20110112950 Haggerty et al. May 2011 A1
20110125632 Neel May 2011 A1
20110137924 Hunt 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
20110282779 Megdal et al. Nov 2011 A1
20110295733 Megdal et al. Dec 2011 A1
20120005070 McFall et al. Jan 2012 A1
20120054090 Haggerty et al. 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
20120246048 Cohen 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
20120278767 Stibel et al. Nov 2012 A1
20120324388 Rao et al. Dec 2012 A1
20120330689 McLaughlin et al. Dec 2012 A1
20130006825 Robida et al. Jan 2013 A1
20130103571 Chung et al. Apr 2013 A1
20130110565 Means et al. May 2013 A1
20130117087 Coppinger 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
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
20150200948 Cairns et al. Jul 2015 A1
20150228016 Chandler Aug 2015 A1
20160125412 Cannon May 2016 A1
20160224996 Hunt et al. Aug 2016 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
20180040063 Buechler et al. Feb 2018 A1
20180082371 Chandler Mar 2018 A1
20180218069 Rege et al. Aug 2018 A1
20180218448 Thomas et al. Aug 2018 A1
20180285886 Yan et al. Oct 2018 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
20200074542 Manna 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
20200201878 Putnam et al. Jun 2020 A1
20200211099 Smith et al. Jul 2020 A1
20200213206 Bracken et al. Jul 2020 A1
20200233850 Girulat, Jr. Jul 2020 A1
Foreign Referenced Citations (52)
Number Date Country
2 611 595 Dec 2006 CA
1290373 Apr 2001 CN
0 350 907 Jan 1990 EP
0 468 440 Jan 1992 EP
0 554 083 Aug 1993 EP
0 566 736 Aug 1993 EP
0 869 652 Oct 1998 EP
0 913 789 May 1999 EP
0 919 942 Jun 1999 EP
1 028 401 Aug 2000 EP
2 384 087 Jul 2003 GB
2 392 748 Mar 2004 GB
2001-282957 Oct 2001 JP
2002-163449 Jun 2002 JP
2003-016261 Jan 2003 JP
2003-316950 Nov 2003 JP
10-0638324 Oct 2006 KR
2007-015510 Apr 2008 MX
256569 Jun 2006 TW
WO 94006103 Mar 1994 WO
WO 99046710 Sep 1999 WO
WO 00011574 Mar 2000 WO
WO 00055789 Sep 2000 WO
WO 00055790 Sep 2000 WO
WO 01011522 Feb 2001 WO
WO 01016896 Mar 2001 WO
WO 01039090 May 2001 WO
WO 01039589 Jun 2001 WO
WO 01041083 Jun 2001 WO
WO 01057720 Aug 2001 WO
WO 01080053 Oct 2001 WO
WO 01084281 Nov 2001 WO
WO 02027610 Apr 2002 WO
WO 03071388 Aug 2003 WO
WO 2004046882 Jun 2004 WO
WO 2004114160 Dec 2004 WO
WO 2005022348 Mar 2005 WO
WO 2005124619 Dec 2005 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 2009061342 May 2009 WO
WO 2009064840 May 2009 WO
WO 2009099448 Aug 2009 WO
WO 2010129257 Nov 2010 WO
WO 2018144612 Aug 2018 WO
WO 2019103979 May 2019 WO
WO 2020051154 Mar 2020 WO
Non-Patent Literature Citations (254)
Entry
U.S. Appl. No. 12/349,455, 2010/0174638, Report Existence Monitoring, filed Jan. 6, 2009.
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.
AISG's National Underwriting Database, A-PLUS, is Now the Largest in the Industry, Business Wire, Aug. 7, 1997.
Announcing TrueProfiler, http://web.archive.org/web/20021201123646/http://www.truecredit.com/index.asp, dated Dec. 1, 2002, 2 pages.
“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, 2004, pp. 148.
“Balance Transfers Offer Opportunities”, Risk Credit Risk Management Report, Jan. 29, 1996, vol. 6, No. 2, pp. 2.
Bilotta, Caryn, “Understanding Credit Scores,” Pittsburgh Post—Gazette, May 9, 2010.
Cantor, R. and Packer, F., “The Credit Rating Industry,” FRBNY Quarterly Review, Summer-Fall, 1994, pp. 1-24.
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.
CreditAnalyst, Digital Matrix Systems, as printed out Mar. 4, 2008, pp. 2.
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.
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, 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, http://web.archive.org/web/20030630132914/http://creditxpert.com/CreditXpert%20What-If%20Simulator(TM)%20sample.pdf.
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.
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.
Dillon et al., “Good Science”, Marketing Research: A Magazine of Management & Applications TM, Winter 1997, vol. 9, No. 4; pp. 11.
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.
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 Announces PLUS Score; Experian Press Release dated Oct. 16, 2003; Experian Global Press Office.
Experian-Scorex Announces New Credit Simulation Tool, PR Newswire, Costa Mesa, CA, Jun. 13, 2005.
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: 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: 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 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.
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.
“FinExtra, Basepoint Analytics Introduces Predictive Technology for Mortgage Fraud”, Oct. 5, 2005, pp. 3.
Fisher, Joseph, “Access to Fair Credit Reports: Current Practices and Proposed Legislation,” American Business Law Journal, Fall 1981, vol. 19, No. 3, p. 319.
“Fraud Alert | Learn How”. Fight Identity Theft. http://www.fightidentitytheft.com/flag.html, accessed on Nov. 5, 2009.
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.
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.
ID Theft Assist, “Do You Know Where Your Child's Credit Is?”, Nov. 26, 2007, http://www.idtheftassist.com/pp./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.
“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.
“Industry News, New Technology Identifies Mortgage Fraud: Basepoint Analytics Launches FraudMark”, Inman News, American Land Title Association, Oct. 5, 2005, pp. 1.
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.
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.
“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.
Kuykendall, Lavonne, “Divergent Paths in Early Pacts with Credit Bureaus”, American Banker, May 30, 2002, vol. 167, No. 3, pp. 2.
Lee, W.A., “Experian Eyes Payments, Mulls Deals” American Banker: The Financial Services Daily, 2pgs., New York, NY, May 30, 2003.
Lee, W.A.; “Experian, on Deal Hunt, Nets Identity Theft Insurer”, American Banker: The Financial Services Daily, Jun. 4, 2003, New York, NY, 1 page.
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.
LifeLock, “How LifeLock Works,” http://www.lifelock.com/lifelock-for-people printed Mar. 14, 2008 in 1 page.
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.
Lund, Graham, “Credit Bureau Data: Maximizing the Benefits,” Credit Management, May 2004, ProQuest Central, pp. 44-45.
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.
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.
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.
Partnoy, Frank, Rethinking Regulation of Credit Rating Agencies: An Institutional Investor Perspective, Council of Institutional Investors, Apr. 2009, pp. 21.
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.
“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.
“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.
Saunders, A., “Data Goldmine,” Management Today, London: Mar. 1, 2004, 6 pages.
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.
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.
Stein, Benchmarking Default Prediction Models: Pitfalls and Remedies in Model Validation, Moody's KMV, Revised Jun. 13, 2002, Technical Report #020305; New York.
Sumner, Anthony, “Tackling the Issue of Bust-Out Fraud”, Retail Banker International, Jul. 24, 2007, pp. 4.
TheMorningCall.Com, “Cheap Ways to Foil Identity Theft,” www.mcall.com/business/columnists/all-karp.5920748jul01,0 . . . , published Jul. 1, 2007.
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.
Truston, “Checking if your Child is an ID Theft Victim can be Stressful,” as posted by Michelle Pastor on Jan. 22, 2007 at http://www.mytruston.com/blog/credit/checking_if_your_child_is_an_id_theft_vi.html.
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) 2005.
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.
West, David, “Neural Network Credit Scoring Models”, Computers & Operations Research, vol. 27, 2000, pp. 1131-1152.
Yücesan et al., “Distributed Web-Based Simulation Experiments for Optimization”, Simulation Practice and Theory 9, 2001, pp. 73-90.
Zimmerman et al., “A Web-Based Platform for Experimental Investigation of Electric Power Auctions,” Decision Support Systems, 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.
Application as filed in U.S. Appl. No. 10/452,155, dated May 30, 2003.
Preliminary Amendment in U.S. Appl. No. 10/452,155, dated Sep. 15, 2003.
Office Action in U.S. Appl. No. 10/452,155, dated Jan. 25, 2008.
Examiner Interview Summary in U.S. Appl. No. 10/452,155, dated Jul. 23, 2008.
Response to Office Action in U.S. Appl. No. 10/452,155, dated Jul. 25, 2008.
Office Action in U.S. Appl. No. 10/452,155, dated Oct. 2, 2008.
Examiner Interview Summary in U.S. Appl. No. 10/452,155, dated Jan. 14, 2009.
Response to Office Action in U.S. Appl. No. 10/452,155, dated Apr. 2, 2009.
International Preliminary Report on Patentability and Written Opinion for Application No. PCT/US2005/041814, dated Aug. 29, 2007.
International Search Report and Written Opinion for Application No. PCT/US2007/06070, dated Nov. 10, 2008.
Accelerated Examination Support Document in U.S. Appl. No. 12/718,936, dated Mar. 5, 2010.
Office Action in U.S. Appl. No. 12/718,936, dated May 26, 2010.
Notice of Allowance in U.S. Appl. No. 12/718,936, dated Jul. 26, 2010.
Application as filed in U.S. Appl. No. 09/790,453, dated Feb. 22, 2001.
Office Action in U.S. Appl. No. 09/790,453, dated Jan. 20, 2006.
Response to Office Action in U.S. Appl. No. 09/790,453, dated Apr. 20, 2006.
Office Action in U.S. Appl. No. 09/790,453, dated Jul. 11, 2006.
Response to Office Action in U.S. Appl. No. 09/790,453, dated Sep. 8, 2006.
Office Action in U.S. Appl. No. 09/790,453, dated Dec. 1, 2006.
Response to Office Action in U.S. Appl. No. 09/790,453, dated Mar. 1, 2007.
Office Action in U.S. Appl. No. 09/790,453, dated May 10, 2007.
Response to Office Action in U.S. Appl. No. 09/790,453, dated Nov. 8, 2007.
Response to Advisory Action in U.S. Appl. No. 09/790,453, dated Jan. 3, 2008.
Office Action in U.S. Appl. No. 09/790,453, dated Mar. 21, 2008.
Response to Office Action in U.S. Appl. No. 09/790,453, dated Jun. 3, 2008.
Application as filed in U.S. Appl. No. 10/183,135, filed Jun. 25, 2002.
Office Action in U.S. Appl. No. 10/183,135, dated Oct. 22, 2007.
Response to Office Action in U.S. Appl. No. 10/183,135, dated Jan. 22, 2008.
Final Office Action in U.S. Appl. No. 10/183,135, dated Apr. 14, 2008.
Response to Office Action in U.S. Appl. No. 10/183,135, dated Jun. 11, 2008.
Office Action in U.S. Appl. No. 10/183,135, dated Aug. 21, 2008.
Response to Office Action in U.S. Appl. No. 10/183,135, dated Dec. 22, 2008.
Office Action in U.S. Appl. No. 10/183,135, dated Feb. 26, 2009.
Office Action in U.S. Appl. No. 11/169,769, dated Mar. 24, 2010.
Application as Filed in U.S. Appl. No. 11/363,984, dated Feb. 27, 2006.
Office Action in in U.S. Appl. No. 11/363,984, dated Dec. 26, 2008.
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.
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.
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.
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.
“Chase Gets Positive,” Bank Technology News, May 6, 2000, vol. 14, No. 5, p. 33.
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.
“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.
Dash, Julekha, “Java on the Street,” Software Magazine, Oct. 1, 1997, vol. 17, No. 11, p. 2.
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.
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.
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 Introduces QualiFile℠, Deluxe Corporation, eFunds Press Release and Product Launch, Sep. 23, 1999, Milwaukee, WI.
Equifax: Consumer Bureau, http://www.equifax.co.in/financial-services/consumer_bureau/en_in#RiskScore printed Oct. 12, 2012 in 3 pages.
Experian, http://www.experian.com/ printed Oct. 12, 2012 in 1 page.
“Experian Launches Portfolio Monitor—Owner Notices℠”, News Release, Feb. 2003, Costa Mesa, CA.
Experian, Custom Strategist and Qualifile from Funds, 2000, in 2 pages.
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.mvfico.com/Products/FICOKit/Sample01.html.
Fair Isaac Corporation, myFICO: Sample: FICO Score Simulator, as printed Jun. 8, 2005 in 5 pages, http://www.rnyfico.com/Content/Samples/Sample_ScoreSimulator.asp.
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: 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.
Financial Engines, http://corp.financialengines.com/ printed Oct. 12, 2012 in 1 page.
Forrest, David, “Achieving Perfect Credit—Lesson 3: Assessing Your Situation,” http://www.fool.com/seminars/ev/index.htm?sid=0029&lid=300, 2002, 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.
“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.
Give, Shelby, “Keeping Tabs on Businesses That Keep Tabs on Us”, NewsRoom, The Seattle Times, Section: SCENE, Apr. 19, 1995, pp. 4.
Gopalan, R., “Panning for Sales-Force Gold”, Intelligent Enterprise, Dec. 21, 1999, vol. 2, No. 18, pp. 38-43.
“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.
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.
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.
Kulkosky, Edward, “Credit Scoring Appeal Transcends Underwriting,” American Banker, vol. 161, No. 93, p. 8, May 15, 1996.
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.
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, Various Pages, www.lifelock.com/, 2007.
Longo, Tracey, “Managing Money: Your Family Finances”, Kiplinger's Personal Finance Magazine, Jun. 1, 1995, vol. 49, No. 6, pp. 4.
Merriam Webster's Collegiate Dictionary, 10th Edition, 1999, p. 79.
Montgomery County Housing Report, Residential Market Report, Jan. 2004 in 6 pages.
MyFico, http://www.myfico.com/products/ficoone/sample/sample_scoresimulator.aspx printed Oct. 12, 2012 in 3 pages.
“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/, pp. 4.
“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.
Pagano, et al., “Information Sharing in Credit Markets,” Dec. 1993, The Journal of Finance, vol. 48, No. 5, pp. 1693-1718.
“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.
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.
“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.
Schmidt, David, “Environmental Impact: The Changing Credit Reporting Landscape,” Business Credit, Apr. 2003, vol. 105, No. 4, pp. 14.
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.
“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.
Steele, Georgia, “Fair, Isaac Seeks Mortgage Tech Opportunities,” National Mortgage News, Special Report; B& C Lending, Mar. 23, 1998, p. 34.
Sullivan, Deidre, “Scoring Borrower Risk,” Mortgage Banking, Nov. 1994, vol. 55, No. 2, pp. 94-98.
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.
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/.
Wahl, Martin, “The Stampede to Subprime,” Mortgage Banking, Oct. 1, 1997, vol. 58, No. 1, p. 26(7).
“We Eliminate Bad Debt”, as printed from http://www.webcreditbureau.com/start/, dated Aug. 22, 2012, 1 Page.
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.
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.
Examiner Interview Summary in U.S. Appl. No. 10/452,155, dated Jul. 21, 2009.
Notice of Allowance in U.S. Appl. No. 10/452,155, dated Aug. 19, 2009.
International Search Report and Written Opinion for Application No. PCT/US2018/016258, dated May 16, 2018.
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.
Office Action in U.S. Appl. No. 10/183,135, dated Aug. 18, 2009.
Office Action in U.S. Appl. No. 10/183,135, dated Feb. 19, 2010.
Final Office Action in U.S. Appl. No. 10/183,135, dated Sep. 22, 2010.
Office Action in U.S. Appl. No. 10/183,135, dated Mar. 25, 2011.
Notice of Allowance in U.S. Appl. No. 10/183,135, dated Aug. 15, 2011.
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.
Menge, Falko, “Enterprise Service Bus”, Free and Open Source Software Conference, 2007, pp. 6.
“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.
International Search Report for Application No. PCT/US2005/041814, dated Aug. 29, 2007.
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 Search Report and Written Opinion for Application No. PCT/US2019/049377, dated Dec. 20, 2019.
International Preliminary Report on Patentability in Application No. PCT/US2018/061877, dated Jun. 4, 2020.
Continuations (1)
Number Date Country
Parent 12349455 Jan 2009 US
Child 16037221 US