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A probabilistic approach to fraud detection in telecommunications
- Source :
-
Knowledge-Based Systems . Feb2012, Vol. 26, p246-258. 13p. - Publication Year :
- 2012
-
Abstract
- Abstract: In this paper, a method for telecommunications fraud detection is proposed. The method is based on the user profiling utilizing the Latent Dirichlet Allocation (LDA). Fraudulent behavior is detected with use of a threshold-type classification algorithm, allocating the telecommunication accounts into one of two classes: fraudulent account and non-fraudulent account. The paper provides also a method for automatic threshold computation. The accounts are classified with use of the Kullback–Leibler divergence (KL-divergence). Therefore, we also introduce three methods for approximating the KL-divergence between two LDAs. Finally, the results of experimental study on KL-divergence approximation and fraud detection in telecommunications are reported. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09507051
- Volume :
- 26
- Database :
- Academic Search Index
- Journal :
- Knowledge-Based Systems
- Publication Type :
- Academic Journal
- Accession number :
- 69983045
- Full Text :
- https://doi.org/10.1016/j.knosys.2011.08.018