Computer-implemented predictive model generation systems and methods
US7788195B1 · kind B1 · utility
144Cited by
21References
57Claims
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Assignee
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Key dates
| Filing date | Mar 26, 2007 |
| Grant date | Aug 31, 2010 |
| Priority date | — |
| Expiry date | Dec 29, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for performing fraud detection. As an example, a system and method can be configured to build a set of predictive models to predict credit card or debit card fraud. A first predictive model is trained using a set of training data. A partitioning criterion is used to determine how to partition the training data into partitions. Another predictive model is trained using at least one of the partitions of training data in order to generate a second predictive model. The predictive models are combined for use in predicting credit card or debit card fraud.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.