计算机工程与科学2013，Vol.35Issue(3)：155-158,4.DOI:10.3969/j.issn.1007-130X.2013.03.026
基于贝叶斯网络的客户流失分析研究
Research of customer churn analysis based on the Bayesian network
摘要
Abstract
Data mining is a popular technology of finding regularity through analysis a large amount of data, while the customer churn analysis system is a new application to realize customer churn model based on data mining technology. Bayesian networks have good logic, predictability, and a great advantage to solve the problem of uncertainty and incompleteness as well as dealing with complex issues. This paper adopts Bayesian networks for customer churn analysis, mining the result in churn characters, in order to help decision-making manager formulate corresponding detainment strategy. In order to compare the performance of Bayesian network, this paper constructed two improved Bayesian network model, that is, the tree augmented naive Bayesian network, Markov Blanket Bayesian network model, and compare the classification performance with the neural network model. Experimental results show that classification performance of Markov blanket Bayesian network model improved to some extent.关键词
贝叶斯网络/特征选择/客户流失Key words
Bayesian network/feature selection/customer churn分类
信息技术与安全科学引用本文复制引用
朱志勇,徐长梅,刘志兵,胡晨刚..基于贝叶斯网络的客户流失分析研究[J].计算机工程与科学,2013,35(3):155-158,4.基金项目
湖南省科技计划项目(2011FJ3075) （2011FJ3075）
