Illustrating the Explicative Capabilities of Bayesian Learning Neural Networks for Auto Claim Fraud Detection

Stijn Viaene, R. A. Derrig and G. Dedene
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R. A. Derrig: Automobile Insurers Bureau of Massachusetts, Insurance Fraud Bureau of Massachusetts, 7th Floor, 101 Arch Street, Boston, MA 02110, USA
G. Dedene: Applied Economic Sciences, Katholieke Universiteit Leuven, Dept. TEW Naamsestraat 69, B-3000 Leuven, Belgium

Chapter 10 in Intelligent and Other Computational Techniques in Insurance:Theory and Applications, 2003, pp 365-399 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionNeural Networks for ClassificationInput Relevance DeterminationEvidence FrameworkPIP Claims DataEmpirical EvaluationConclusionReferences

Keywords: Insurance; Actuarial Science; Neural Networks; Fuzzy Systems; Computational Intelligence; Computational Techniques; Life and Health Insurance; Property and Casualty Insurance (search for similar items in EconPapers)
Date: 2003
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