Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model

Hollmén, Jaakko, Tresp, Volker

Neural Information Processing Systems 

Fraud causes substantial losses to telecommunication carriers. Detection systems which automatically detect illegal use of the network can be used to alleviate the problem. Previous approaches worked on features derived from the call patterns of individual users. In this paper we present a call-based detection system based on a hierarchical regime-switching model. The detection problem is formulated as an inference problem on the regime probabilities.

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