Novel Techniques for Profiling and Fraud Detection in Mobile Telecommunications

John Shawe-Taylor, Keith Howker, Phil Gosset, Mark Hyland, Herman Verrelst, Yves Moreau, Christof Stoermann and Peter Burge
Additional contact information
John Shawe-Taylor: Royal Holloway, University of London, UK
Keith Howker: Royal Holloway, University of London, UK
Phil Gosset: Vodafone Ltd, UK
Mark Hyland: Katholieke Universiteit Leuven, Belgium
Herman Verrelst: Katholieke Universiteit Leuven, Belgium
Yves Moreau: Katholieke Universiteit Leuven, Belgium
Christof Stoermann: Siemens AG, U.S.A.
Peter Burge: Logica UK Ltd, U.K.

Chapter 8 in Business Applications of Neural Networks:The State-of-the-Art of Real-World Applications, 2000, pp 113-139 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionFraud scenariosThe fraud detection environmentSystem requirementsASPeCT choice of technologyUser ProfilingThe FDT componentsThe ASPeCT trialLegal considerationsLegal backgroundTelecommunications privacyPersonal data protectionAdmissibility of electronic evidenceConclusionsReferences

Keywords: Artificial Neural Networks; Rule Extraction; Segmentation; Credit Card Fraud; Customer Profiling; Bankruptcy Prediction; Risk Assessment; Money Laundering (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (1)

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