Olap-based customer behavior profiling method and system

Details Olap-based customer behavior profiling method and system Olap-based customer behavior profiling method and system

2005-07-12

2005-07-12

Mizrani, Diane D. (Department: 2175)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000

Reexamination Certificate

active

06917940

ABSTRACT:
An OLAP-based method and system for profiling customer behavior that can be utilized to detect telecommunication fraud. First, call records are received. Next, a calling profile cube (e.g., a multi-customer profile cube) is generated based on the call records. A volume-based calling pattern cube (e.g., a calling pattern cube for each individual customer) is then generated based on the multi-customer profile cube. The volume-based calling pattern cube is then compared with known fraudulent volume-based calling patterns. If the similarities generated by the comparison reaches or exceeds a predetermined threshold, then the particular caller with the calling pattern being analyzed is considered suspicious. In this manner, suspicious calling activity can be detected, and appropriate remedial actions, such as further investigation or the cancellation of telephone services, can be taken.

REFERENCES:
patent: 5745654 (1998-04-01), Titan
patent: 5790645 (1998-08-01), Fawcett et al.
patent: 5799300 (1998-08-01), Agrawal et al.
patent: 5809478 (1998-09-01), Greco et al.
patent: 5852819 (1998-12-01), Beller
patent: 5937037 (1999-08-01), Kamel et al.
patent: 5940818 (1999-08-01), Malloy et al.
patent: 5970482 (1999-10-01), Pham et al.
patent: 5978788 (1999-11-01), Castelli et al.
patent: 6018723 (2000-01-01), Siegel et al.
patent: 6119103 (2000-09-01), Basch et al.
patent: 6154766 (2000-11-01), Yost et al.
patent: 6236978 (2001-05-01), Tuzhilin
Q. Chen, U. Dayal, Meichun Hsu, “OLAp-based Scalable Profiling of Customer Behavior”, Proc. Of 1st International Conference on Data Warehouseing and Knowledge Discovery(DWK99), 1999, Itlay.
O. R. Zaiane, M. Xin, and J. Han. Discovering web access patterns and trends by applying OLAP and data mining technology on web logs. In Advances in Digital Libraries, pp. 19-29, Santa Barbara, 1998.
J. Han, “Towards On-Line Analytical Mining in Large Databases,” ACM SIGMOND Record, 27:1, pp. 97-107, 1998.
Surajit Chaudhuri and Umesh Dayal, An Overview of Data Warehousing and OLAP Technology, ACM SIGMOD Record 26(1), Mar. 1997.

Affiliated with

Also associated with

Rating

Olap-based customer behavior profiling method and system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Olap-based customer behavior profiling method and system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Olap-based customer behavior profiling method and system will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3419262