Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises
International Journal of Data Science and Analysis
Volume 4, Issue 1, February 2018, Pages: 1-5
Received: Nov. 8, 2017;
Accepted: Dec. 4, 2017;
Published: Jan. 15, 2018
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Han Song, Department of Statistics, Beijing Wuzi University, Beijing, China
Han Qiuhong, Department of Statistics, Beijing Wuzi University, Beijing, China
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This paper is based on the customer churn data of auto insurance, construction of index system in three aspects: the customer information, the subject matter of the insurance information and hold product information; This paper uses decision tree and Logistic regression model to analyze the insurance company's customer data; The results show that: discount, total discount rate, total premium and other variables have a significant impact on customer churn, and get the loss probability of each customer and get some main features of lost customers.
Customer Churn, Decision Tree, Logistic Regression, Auto Insurance Company
To cite this article
Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises, International Journal of Data Science and Analysis.
Vol. 4, No. 1,
2018, pp. 1-5.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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