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Calibration of Customer Risk Scoring via Classification Techniques for Money Laundering Prevention
M. Hamdi Özçelik, Tuğba Tosun, Emel Eldemir, M. Tolga İncaz
304 - 323
10.3233/978-1-60750-828-1-304
NATO Science for Peace and Security Series - E: Human and Societal Dynamics
Volume 88: Use of Risk Analysis in Computer-Aided Persuasion
Abstract

Financial frauds are one of the important security issues for the banks. On the other hand, money laundering is closely related with such frauds. Banks should score every customer and every transaction for the detection of such financial crimes. These scoring systems need calibration of their parameters if they are based on expert opinions. We have compared the money laundering risk score of customers using previously identified money laundering data and utilized classification techniques. We have also introduced new performance metrics for the performance of classifiers.

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