{"title":"Research on the Applications of Data Mining in the Analysis of Vehicle Insurance Industry","authors":"J. Xiahou, Mengfei Xiao, Xiaojing He, Xu Cui","doi":"10.1109/IMCEC51613.2021.9482172","DOIUrl":null,"url":null,"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.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCEC51613.2021.9482172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.