Employing Kullback-Leibler divergence and Latent Dirichlet Allocation for fraud detection in telecommunications
Dominik Olszewski · Intelligent Data Analysis · 2012
In this paper, a method for telecommunications fraud detection is proposed. The method is based on the user profiling using the Latent Dirichlet Allocation (LDA). Fraudulent behavior is detected with use of a threshold-type classification algorithm,