Fraud detection using predictive modeling
US5819226A · kind A · utility
705Cited by
2References
38Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Sep 8, 1992 |
| Grant date | Oct 6, 1998 |
| Priority date | — |
| Expiry date | Sep 8, 2012 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M2215/0148
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An automated system and method detects fraudulent transactions using a predictive model such as a neural network to evaluate individual customer accounts and identify potentially fraudulent transactions based on learned relationships among known variables. The system may also output reason codes indicating relative contributions of various variables to a particular result. The system periodically monitors its performance and redevelops the model when performance drops below a predetermined level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.