Self-learning real-time prioritization of telecommunication fraud control actions
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United States of America Patent
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-
Jul 22, 2003
Grant Date -
Aug 22, 2002
app pub date -
Sep 25, 2001
filing date -
Sep 29, 2000
priority date (Note) -
In Force
status (Latency Note)
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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.
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