학술논문

Optional Insurance Compensation Rate Selection and Evaluation in Financial Institutions
Document Type
Article
Text
Source
International Journal of u- and e- Service, Science and Technology, 02/28/2014, Vol. 7, Issue 1, p. 233-242
Subject
Artificial Neural Network
Data Mining method
Software Engineering
Clementine
Financial Institutions
Language
English
ISSN
2005-4246
Abstract
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.