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A hybrid machine learning system and its application to insurance underwriting

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2 Author(s)
C. Nikolopoulos ; Dept. of Comput. Sci., Bradley Univ., Peoria, IL, USA ; S. Duvendack

This paper describes the application of evolutionary learning and classification tree techniques to the insurance underwriting domain. These machine learning techniques are used to build a knowledge base of rules for an expert system which determines when an insurance policy should be terminated. The effectiveness of each method is compared with the other and a hybrid method is proposed, which combines both approaches and seems to overshadow the performance of any other single method

Published in:

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Date of Conference:

27-29 Jun 1994