Computer-Implemented Data Storage Systems And Methods For Use With Predictive Model Systems
First Claim
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1. A computer-implemented fraud scoring system comprising:
- raw data repository on a computer-readable storage media for storing raw data related to financial transactions;
wherein the stored raw data are unprocessed financial transaction data records resulting from the financial transactions;
wherein the stored raw data are data associated with multiple different types of entities;
a view selector for executing on a computer system and for selecting an entity or type of entity;
wherein the raw data associated with the selected entity of type of entity is used by a fraud scoring system for determining fraud scores for the selected entity or type of entity.
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Abstract
Systems and methods for performing fraud detection. As an example, a system and method can be configured to contain a raw data repository for storing raw data related to financial transactions. A data store contains rules to indicate how many generations or to indicate a time period within which data items are to be stored in the raw data repository. Data items stored in the raw data repository are then accessed by a predictive model in order to perform fraud detection.
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15 Claims
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1. A computer-implemented fraud scoring system comprising:
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raw data repository on a computer-readable storage media for storing raw data related to financial transactions; wherein the stored raw data are unprocessed financial transaction data records resulting from the financial transactions; wherein the stored raw data are data associated with multiple different types of entities; a view selector for executing on a computer system and for selecting an entity or type of entity; wherein the raw data associated with the selected entity of type of entity is used by a fraud scoring system for determining fraud scores for the selected entity or type of entity. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer-implemented fraud scoring method comprising:
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storing raw data related to financial transactions in a computer-readable raw data repository; wherein the stored raw data are unprocessed financial transaction data records resulting from the financial transactions; wherein the stored raw data are data associated with multiple different types of entities; selecting through a view selector software module an entity or type of entity; wherein the raw data associated with the selected entity of type of entity is used by a fraud scoring system for determining fraud scores for the selected entity or type of entity; wherein the selecting is performed using a data processor.
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Specification