Self-learning real-time prioritization of telecommunication fraud control actions
US7158622B2 · kind B2 · utility
104Cited by
15References
11Claims
0Family size
Assignee
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Key dates
| Filing date | Oct 20, 2004 |
| Grant date | Jan 2, 2007 |
| Priority date | — |
| Expiry date | Oct 20, 2024 |
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.