An application of supervised and unsupervised learning approaches to telecommunications fraud detection-Reference-Cited by-同舟云学术

An application of supervised and unsupervised learning approaches to telecommunications fraud detection

Published:2008-10 Issue:7 Volume:21 Page:721-726
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Hilas Constantinos S.,Mastorocostas Paris As.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference32 articles.

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3. R. Alves et al., Discovering telecom fraud situations through mining anomalous behavior patterns, in: KDD 2006 Workshop on Data Mining for Business Applications, Philadelphia, USA, 2006.

4. R. Buschkes, D. Kesdogan, P. Reichl, How to increase security in mobile networks by anomaly detection, in: Proc. 14th Annual Computer Security Applications Conference – ACSAC’98, 1998, p. 8.

5. Visual data mining: recognizing telephone calling fraud;Cox;Journal of Data Mining and Knowledge Discovery,1997

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