کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
405272 | 677516 | 2012 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A probabilistic approach to fraud detection in telecommunications A probabilistic approach to fraud detection in telecommunications](/preview/png/405272.png)
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.
Journal: Knowledge-Based Systems - Volume 26, February 2012, Pages 246–258