Research for Customer Segmentation of Medical Insurance Based on K-means and C&R Tree Algorithms

摘要：

This paper applies such data mining techniques as clustering and classifying to customer segmentation based on insurance Customer Risk Contribution matrix. A solution for segmentation management based on Clementine is put forwarded. It is brought forward that the insurance customer segmentation method, which can provide decision bases for insurance companies’ making premium rate and controlling claim risk. At the same time, it makes segmentation management more scientific and lifts the capability of insurance market competition.

关键词： C&R Tree K-means Medical Insurance Customer Segmentation

作者: Jianxin Bi

作者单位: Institute of Mathematics Zhejiang Wanli University Ningbo, 315100, P.R. China

会议类型: 国际会议

会议名称: Sixth International Conference on Semantics,Knowledge and Grids(第六届语义、知识与网格国际会议 SKG 2010)

会议地点: 宁波

会议语种:英文

页码: 359-362

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）