文章基本信息

标题：Applications of Data Mining Techniques in Life Insurance
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作者：A. B. Devale ; R. V. Kulkarni
期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2012
卷号：2
期号：4
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Knowledge discovery in financial organization have been built and operated mainly to support decision making using knowledge as strategic factor. In this paper, we investigate the use of various data mining techniques for knowledge discovery in insurance business. Existing software are inefficient in showing such data characteristics. We introduce different exhibits for discovering knowledge in the form of association rules, clustering, classification and correlation suitable for data characteristics. Proposed data mining techniques, the decision- maker can define the expansion of insurance activities to empower the different forces in existing life insurance sector.
关键词：Insurance; Association rules; Clustering; Classification; Correlation; Data mining.