Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34578
Title: Data mining for selection of insurance sales agents
Authors: Cho, V 
Ngai, EW 
Keywords: Intelligent decision support systems
Data mining
Issue Date: 2003
Publisher: Wiley
Source: Expert systems, 2003, v. 20, no. 3, p. 123-132 How to cite?
Journal: Expert systems
Abstract: The insurance industry of Hong Kong has been experiencing steady growth in the last decade. One of the current problems in the industry is that, in general, insurance agent turnover is high. The selection of new agents is treated as a regular recruitment exercise. This study focuses on the characteristics of data warehousing and the appropriate data mining techniques that can be used to support agent selection in the insurance industry. We examine the application of three popular data mining methods – discriminant analysis, decision trees and artificial neural networks – incorporated with a data warehouse to the prediction of the length of service, sales premiums and persistence indices of insurance agents. An intelligent decision support system, namely Intelligent Agent Selection Assistant for Insurance, is presented, which will help insurance managers to select quality agents by using data mining in a data warehouse environment.
URI: http://hdl.handle.net/10397/34578
ISSN: 1468-0394
DOI: 10.1111/1468-0394.00235
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