Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises

Han Song; Han Qiuhong

doi:doi:10.11648/j.ijdsa.20180401.11

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Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises

Han Song, Han Qiuhong

Published in International Journal of Data Science and Analysis (Volume 4, Issue 1)

Received: 8 November 2017 Accepted: 4 December 2017 Published: 15 January 2018

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Abstract

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.

Published in	International Journal of Data Science and Analysis (Volume 4, Issue 1)
DOI	10.11648/j.ijdsa.20180401.11
Page(s)	1-5
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Customer Churn, Decision Tree, Logistic Regression, Auto Insurance Company

References

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[8]	Tian Chong. Data mining technology in China's automobile insurance industry research [D]. Hubei: Wuhan University of Technology master's degree thesis, 2007.
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[10]	Wang Jichuan, Guo Zhigang. Logistic Regression Model-Methods and Applications [M]. Higher Education Press.
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APA Style

Han Song, Han Qiuhong. (2018). Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises. International Journal of Data Science and Analysis, 4(1), 1-5. https://doi.org/10.11648/j.ijdsa.20180401.11

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ACS Style

Han Song; Han Qiuhong. Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises. Int. J. Data Sci. Anal. 2018, 4(1), 1-5. doi: 10.11648/j.ijdsa.20180401.11

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AMA Style

Han Song, Han Qiuhong. Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises. Int J Data Sci Anal. 2018;4(1):1-5. doi: 10.11648/j.ijdsa.20180401.11

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@article{10.11648/j.ijdsa.20180401.11,
  author = {Han Song and Han Qiuhong},
  title = {Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises},
  journal = {International Journal of Data Science and Analysis},
  volume = {4},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.ijdsa.20180401.11},
  url = {https://doi.org/10.11648/j.ijdsa.20180401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20180401.11},
  abstract = {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.},
 year = {2018}
}

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TY  - JOUR
T1  - Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises
AU  - Han Song
AU  - Han Qiuhong
Y1  - 2018/01/15
PY  - 2018
N1  - https://doi.org/10.11648/j.ijdsa.20180401.11
DO  - 10.11648/j.ijdsa.20180401.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20180401.11
AB  - 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.
VL  - 4
IS  - 1
ER  -

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Author Information

Han Song

Department of Statistics, Beijing Wuzi University, Beijing, China
Han Qiuhong

Department of Statistics, Beijing Wuzi University, Beijing, China

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APA Style

Han Song, Han Qiuhong. (2018). Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises. International Journal of Data Science and Analysis, 4(1), 1-5. https://doi.org/10.11648/j.ijdsa.20180401.11

Copy | Download

ACS Style

Han Song; Han Qiuhong. Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises. Int. J. Data Sci. Anal. 2018, 4(1), 1-5. doi: 10.11648/j.ijdsa.20180401.11

Copy | Download

AMA Style

Han Song, Han Qiuhong. Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises. Int J Data Sci Anal. 2018;4(1):1-5. doi: 10.11648/j.ijdsa.20180401.11

Copy | Download

@article{10.11648/j.ijdsa.20180401.11,
  author = {Han Song and Han Qiuhong},
  title = {Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises},
  journal = {International Journal of Data Science and Analysis},
  volume = {4},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.ijdsa.20180401.11},
  url = {https://doi.org/10.11648/j.ijdsa.20180401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20180401.11},
  abstract = {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.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises
AU  - Han Song
AU  - Han Qiuhong
Y1  - 2018/01/15
PY  - 2018
N1  - https://doi.org/10.11648/j.ijdsa.20180401.11
DO  - 10.11648/j.ijdsa.20180401.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20180401.11
AB  - 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.
VL  - 4
IS  - 1
ER  -

Copy | Download