Self-learning real-time prioritization of fraud control actions

Details Self-learning real-time prioritization of fraud control actions Self-learning real-time prioritization of fraud control actions

2006-11-27

2008-11-25

Tran, Quoc D (Department: 2614)

Telephonic communications

With usage measurement

Call charge metering or monitoring

C379S127020, C379S145000, C379S188000, C379S189000

Reexamination Certificate

active

07457401

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.

REFERENCES:
patent: 5438570 (1995-08-01), Karras et al.
patent: 5566234 (1996-10-01), Reed et al.
patent: 5627886 (1997-05-01), Bowman
patent: 5666481 (1997-09-01), Lewis
patent: 5706338 (1998-01-01), Relyea et al.
patent: 5768354 (1998-06-01), Lange et al.
patent: 5802145 (1998-09-01), Farris et al.
patent: 5805686 (1998-09-01), Moller et al.
patent: 5875236 (1999-02-01), Jankowitz et al.
patent: 5907602 (1999-05-01), Peel et al.
patent: 5963625 (1999-10-01), Kawecki et al.
patent: 6163604 (2000-12-01), Baulier et al.
patent: 6535728 (2003-03-01), Perfit et al.
patent: 6597775 (2003-07-01), Lawyer et al.
patent: 6658393 (2003-12-01), Basch et al.
patent: 6850606 (2005-02-01), Lawyer et al.
patent: 7158622 (2007-01-01), Lawyer et al.

Affiliated with

Also associated with

Rating

Self-learning real-time prioritization of fraud control actions does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Self-learning real-time prioritization of fraud control actions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-learning real-time prioritization of fraud control actions will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4045124