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논문검색

Optional Insurance Compensation Rate Selection and Evaluation in Financial Institutions

초록

영어

With the change of market environment, most enterprises have realized the importance of customer resource. In this paper, we use data mining technology to analyze the influence factor of insurance settlement. First, we establish a customer segmentation structure model, and then use decision tree to find out the main factors that affect the amount of settlement and analyze the customer records. According to the result, we can find that the amount of settlement is mainly influenced by the driving experience and the purpose of using. Based on the analysis, the using of the data-mining tech would improve the work efficiency and the consumer management in insurance institutions, and insurance companies can also formulate the corresponding compensation rate.

목차

Abstract
 1. Introduction
 2. Customer Value Evaluation
  2.1. Artificial Neural Network
  2.2. Structure Model
 3. Empirical Analysis
  3.1. Decision Tree
  3.2. Influence Factor Analysis
 4. Conclusions
 Acknowledgements
 References

저자정보

  • Xu Zhikun College of Finance, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, P.R.China , 066004
  • Wang Yanwen College of Finance, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, P.R.China , 066004
  • Liu Zhaohui Pupillary workroom Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, P.R.China, 066004

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