摘要
将数据挖掘中的决策树技术应用于团体医疗保险理赔数据库中,提出了基于Clementine数据挖掘平台的理赔风险解决方案,为保险公司团体医疗保险理赔风险规则的提取和费率厘定提供决策依据,以提高团体医疗保险管理的科学性.
The thesis 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 Ciementine 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.
出处
《浙江万里学院学报》
2006年第5期22-25,共4页
Journal of Zhejiang Wanli University
关键词
数据挖掘
决策树
医疗保险
理赔
datamining
clustering
insurance
customer segmentation
