Customer Profitability Analysis of Automobile Insurance Market Based on Data Mining

被引：0

作者：

Xiahou, Jianbing ^{[1
]}

Xu, Yanyu ^{[1
]}

Zhang, Siyu ^{[1
]}

Liao, Wenxuan ^{[2
]}

机构：

[1] Xiamen Univ, Software Sch, Xiamen, Peoples R China

[2] Xiamen Univ, Sch Management, Xiamen, Peoples R China

来源：

2016 11TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE) | 2016年

关键词：

Data Mining; Automobile Insurance; Premium Rate Reform; Customer Profitability;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Data mining technology is an interdiscipline using theory and technology of artificial intelligence, machine learning, statistics and other fields. It can extract implicit but useful information and knowledge from vast amount of historical data for the enterprise, and provide solid support for the decision of company. Combining with the rate reform of domestic automobile insurance industry, this paper discusses the application of data mining technology to the customer profitability, finds out the rule of classification before and after the rate reform, and shows the progress of customer profitability analysis by using decision tree.

引用

页码：603 / 609

页数：7