计算机工程与应用Issue(7)：125-128,189,5.DOI:10.3778/j.issn.1002-8331.1206-0272
贝叶斯决策树在客户流失预测中的应用
Bayesian decision tree applying in forecasting customer churn
摘要
Abstract
According to telecom enterprise customer churn problem, a prediction model based on Bayesian decision tree algorithm is put forward. It combines the prior information method of Bayesian classification and the information gain method of decision tree classification, and applies to the analysis of telecom enterprise customer churn, then puts the customer data of mobile company and data UCI in the model respectively and gets the relevant results. Added Bayesian node to make up for the decision tree cannot handle the missing value and the ambiguity data. The applications indicate that, Bayesian decision tree algorithm sacrifices a little training time and classification time, but gets higher coverage rate and hit rate than basic decision tree method.关键词
数据挖掘/贝叶斯决策树/客户流失/熵函数Key words
data mining/Bayesian decision tree/customers churn/entropy function分类
信息技术与安全科学引用本文复制引用
尹婷,马军,覃锡忠,贾振红..贝叶斯决策树在客户流失预测中的应用[J].计算机工程与应用,2014,(7):125-128,189,5.基金项目
中国移动通信集团新疆有限公司研究发展基金项目（No.XJM2011-11）。 （）
