Self-learning real-time prioritization of fraud control actions
US7457401B2 · kind B2 · utility
84Cited by
17References
19Claims
0Family size
Inventors
Key dates
| Filing date | Nov 27, 2006 |
| Grant date | Nov 25, 2008 |
| Priority date | — |
| Expiry date | Nov 27, 2026 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M2215/0188
- WIPO fieldTelecommunications
- WIPO sectorElectrical engineering
Abstract
A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.