Industry: the use of modern heuristic algorithms for mining insurance data

Authors:
V. J. Rayward-Smith;J. C. W. Debuse;B. de la Iglesia
Affiliations:
Professor of Computing, School of Information Systems, University of East Anglia, Norwich, United Kingdom;Postdoctoral Research Fellow, School of Information Systems, University of East Anglia, Norwich, United Kingdom;Postdoctoral Research Fellow, School of Information Systems, University of East Anglia, Norwich, United Kingdom
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

An overview of the use of knowledge discovery in databases (KDD) in the U.K. insurance business is presented. Applications in pricing and marketing are discussed together with the corresponding effectiveness of various data mining algorithms. Rule induction using modern heuristic techniques is seen to be most effective, and a case study in customer profiling is described.