Analytical Model of Customer Churn Based On Bayesian Network

被引：1
|
作者：
Sun, Peng [1 ]
Guo, Xin [2 ]
Zhang, Yunpeng [3 ]
Wu, Ziyan [4 ]
机构：
[1] Northwestern Polytech Univ, Coll Comp Sci, Xian 710072, Shaanxi Provinc, Peoples R China
[2] Xian Univ Architecture & Technol, Civil Engn Inst, Xian, Shaanxi Provinc, Peoples R China
[3] Northwestern Polytech Univ, Sch Software & Microelect, Xian 710072, Shaanxi Provinc, Peoples R China
[4] Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian 710072, Shaanxi Provinc, Peoples R China
来源：
2013 9TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2013年
关键词：
Bayesian; Customer Churn;
D O I：
10.1109/CIS.2013.63
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A customer churn analytical model based Bayesian network is built for prediction of customer churn. We propose Bayesian Network approaches to predict churn motivation, mining the result in churn characters in order to help decisionmaking manager formulate corresponding detainment strategy. Experimental results show that classification performance of both methods is resultful.
引用
收藏
页码：269 / 271
页数：3
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