Data Mining Application in Policy-purchased Forecast

摘要：

This paper briefly describes the insurance data mining process, then based on the data mining topics of policy-purchased forecast, focusing on how the insurance industry to carry out data mining, including the establishment of mining topics, data preparation, variable selection, model selection and model assessment, in order to display the whole data mining application in the insurance industry. As the decision tree is a classification algorithm, has the function of index selection, and the types of data distribution have not been assumed, and thus this paper employs C4.5 decision tree prediction of policy to purchase data mining.

关键词： data mining policy purchase decision tree index selection

作者: XI Qin MI Shuaijun

作者单位: School of Economy and Management, East China Jiaotong University, NanChang, Jianxi, P.R.China,330013

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 472-477

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）