A Comparison of Soft Computing and Traditional Approaches for Risk Classification and Claim Cost Prediction in the Automobile Insurance Industry-Reference-Cited by-同舟云学术

A Comparison of Soft Computing and Traditional Approaches for Risk Classification and Claim Cost Prediction in the Automobile Insurance Industry

Published:2003 Issue: Volume: Page:249-261
ISSN:1434-9922
Container-title:Soft Computing in Measurement and Information Acquisition
language:
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Author:

Yeo Ai Cheo,Smith Kate A.,Willis Robert J.,Brooks Malcolm

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-36216-6_17.pdf

Reference13 articles.

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3. Dionne, G., Vanasse, C. (1992): Automobile Insurance Ratemaking in the Presence of Asymmetrical Information. Journal of Applied Econometrics 7 (2), 149–165

4. Everitt, B.S. (1993): Cluster analysis, 3rd Edition. E. Arnold, London

5. Gilbert, K., Aluja, T., Cortes, U. (1998): Knowledge discovery with clustering based on rules: Interpreting results. In: Zytkow, J. M., Quafafou, M. (Eds.): Principles of data mining and knowledge discovery: Second European Symposium, PKDD ‘88, September 1998 proceedings, Nantes, France. Springer, Berlin New York, 81–92

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2. Neural Networks for Automobile Insurance Pricing;Encyclopedia of Information Science and Technology, Second Edition;2009