Research on the Applications of Data Mining in the Analysis of Vehicle Insurance Industry

J. Xiahou, Mengfei Xiao, Xiaojing He, Xu Cui
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引用次数: 1

Abstract

With the improvement of information system of the insurance industry, the insurance company has accumulated a large number of vehicle insurance data. How to use these vast amounts of data resources more efficiently has become an urgent problem for the insurance industry to be solved, and data mining technology can solve the above problems. In this paper, decision tree algorithm is used for auto insurance business data mining and analysis, build a customer risk analysis model, which effectively reduces the risk of underwriting insurance companies.
数据挖掘在车险行业分析中的应用研究
随着保险业信息系统的完善,保险公司积累了大量的车险数据。如何更高效地利用这些海量的数据资源,成为保险业亟待解决的问题,而数据挖掘技术可以解决上述问题。本文采用决策树算法对车险业务数据进行挖掘和分析,构建客户风险分析模型,有效降低保险公司承保风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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