Six sigma methodology with fraud detection

Authors:
Andrej Trnka
Affiliations:
Department of Applied Informatics, University of SS. Cyril and Methodius in Trnava, Trnava, Slovakia
Venue:
DNCOCO'10 Proceedings of the 9th WSEAS international conference on Data networks, communications, computers
Year:
2010

Citing 3
Cited 0

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Abstract

This paper describes one of the selected Data Mining task. It deals with implementation of Data Mining algorithms to fraud detection. The first part briefly introduces the applications of Data Mining and then is given to the fraud detection. Case study of fraud detection is focused to the field of application of financial grants for farms. It uses fictitious data.