【作者】 杨利军； 勾学荣；

【Author】 YangLiJun,GouXueRong Network Education School,Beijing University Of Posts and Telecommunications,Beijing 100876

【机构】 北京邮电大学网络教育学院；

【摘要】 在电信业重组之后,三大运营商对客户的争夺将愈演愈烈。如何预测出即将流失的用户以降低损失和如何提高预测的准确度,是很重要的事情。本文介绍了使用决策树、神经网络、贝叶斯三种数据挖掘算法建立客户流失预测模型的方法,并且对三种模型进行了性能对比和评价。更多还原

【Abstract】 After the restructuring of telecommunication business,the war of contesting customers will become more and more fiercely.It is important to predict which customers would be loss and improve the accuracy of the prediction.This paper introduces the method,which builds the prediction models of customers’ loss by using three data mining arithmetic-Naive Bayes, Neural_Network and Decision_Trees.Moreover,the comparison of capabilities and evaluation between these three models was mentioned by this paper.更多还原