Abstract
Fraud in mobile telecommunications is a complex and dynamic problem for Telecom operators. These companies have developed and are exploring new ways of making the fraud detection process more efficient. Most of these attempts are based in fraud management systems, capable of detecting fraudulent communications. In this paper, we present a case-based reasoning system that aids fraud analysts in the classification of potential fraud cases. The system developed, presents to the analyst the most similar past cases, representing suspicious communication episodes that were previously investigated. We also describe an example of how the system is used.
This work was supported by PT Inovação SA, under program IDEIAS 2007.
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© 2008 Springer-Verlag Berlin Heidelberg
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Almeida, P., Jorge, M., Cortesão, L., Martins, F., Vieira, M., Gomes, P. (2008). Supporting Fraud Analysis in Mobile Telecommunications Using Case-Based Reasoning. In: Althoff, KD., Bergmann, R., Minor, M., Hanft, A. (eds) Advances in Case-Based Reasoning. ECCBR 2008. Lecture Notes in Computer Science(), vol 5239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85502-6_38
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DOI: https://doi.org/10.1007/978-3-540-85502-6_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85501-9
Online ISBN: 978-3-540-85502-6
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