Data mining process for fraud detection in mobile communication
Articles
Jelena Mamčenko
Vilnius Gediminas Technical University
Regina Kulvietienė
Vilnius Gediminas Technical University
Published 2004-12-17
https://doi.org/10.15388/LMR.2004.31698
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Keywords

data mining
intelligent miner for data
neural and demographic clustering
fraud

How to Cite

Mamčenko, J. and Kulvietienė, R. (2004) “Data mining process for fraud detection in mobile communication”, Lietuvos matematikos rinkinys, 44(spec.), pp. 332–338. doi:10.15388/LMR.2004.31698.

Abstract

Without dependence from a sort of activity (sale, rendering of services, etc.) the using of data mining methods can bring the certain advantage.
Fraud detection methods of data mining can be applied to this problem quite readily. Three important elements of a data mining application/solution are present. These are the ability to handle large amounts of data, suitable methods and algorithms, and the availability of domain expertise.

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