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A comparative analysis of decision trees vis-à-vis other computational data mining techniques in automotive insurance fraud detection

Gepp, Adrian, Wilson, J. Holton, Kumar, Kuldeep and Bhattacharya, Sukanto 2012, A comparative analysis of decision trees vis-à-vis other computational data mining techniques in automotive insurance fraud detection, Journal of data science, vol. 10, no. 3, pp. 537-561.

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Title A comparative analysis of decision trees vis-à-vis other computational data mining techniques in automotive insurance fraud detection
Author(s) Gepp, Adrian
Wilson, J. Holton
Kumar, Kuldeep
Bhattacharya, Sukanto
Journal name Journal of data science
Volume number 10
Issue number 3
Start page 537
End page 561
Total pages 25
Publisher Columbia University : Department of Statistics
Place of publication New York, N.Y.
Publication date 2012-07
ISSN 1680-743X
1683-8602
Keyword(s) ANN's
survival analysis
logit model
fraud detection
decision trees
Summary The development and application of computational data mining techniques in financial fraud detection and business failure prediction has become a popular cross-disciplinary research area in recent times involving financial economists, forensic accountants and computational modellers. Some of the computational techniques popularly used in the context of - financial fraud detection and business failure prediction can also be effectively applied in the detection of fraudulent insurance claims and therefore, can be of immense practical value to the insurance industry. We provide a comparative analysis of prediction performance of a battery of data mining techniques using real-life automotive insurance fraud data. While the data we have used in our paper is US-based, the computational techniques we have tested can be adapted and generally applied to detect similar insurance frauds in other countries as well where an organized automotive insurance industry exists.
Language eng
Field of Research 150204 Insurance Studies
Socio Economic Objective 970115 Expanding Knowledge in Commerce, Management, Tourism and Services
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2012, Journal of Data Science
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048883

Document type: Journal Article
Collections: Faculty of Business and Law
Deakin Graduate School of Business
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Created: Mon, 01 Oct 2012, 17:30:38 EST by Aysun Alpyurek