CARDWATCH: a neural network based database mining system for credit card fraud detection

Author

Aleskerov, Emin ; Freisleben, Bernd ; Rao, Bharat

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Siegen Univ., Germany

fYear

1997

fDate

23-25 Mar 1997

Firstpage

220

Lastpage

226

Abstract

CARDWATCH, a database mining system used for credit card fraud detection, is presented. The system is based on a neural network learning module, provides an interface to a variety of commercial databases and has a comfortable graphical user interface. Test results obtained for synthetically generated credit card data and an autoassociative neural network model show very successful fraud detection rates

Keywords

credit transactions; data handling; database management systems; financial data processing; fraud; graphical user interfaces; learning systems; neural nets; CARDWATCH; autoassociative neural network model; credit card fraud detection; database interface; fraud detection rates; graphical user interface; neural network based database mining system; neural network learning module; synthetically generated credit card data; Adaptive signal detection; Credit cards; Data mining; Databases; Economic forecasting; Electronic mail; Machine learning; Neural networks; Performance analysis; Planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Financial Engineering (CIFEr), 1997., Proceedings of the IEEE/IAFE 1997

Conference_Location

New York City, NY

Print_ISBN

0-7803-4133-3

Type

conf

DOI

10.1109/CIFER.1997.618940

Filename

618940