An Experimental Study on Four Models of Customer Churn Prediction

被引：4
|
作者：
Zhu, Chao [1 ]
Qi, Jiayin [1 ]
Wang, Chen [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Econ & Management Sch, Beijing 100088, Peoples R China
[2] IBM China Res Lab, Beijing, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年
基金：
中国国家自然科学基金;
关键词：
customer churn; Bayesian networks; SVM; Rough sets; Survival analysis; MANAGEMENT;
D O I：
10.1109/ICSMC.2009.5346170
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Decision tree, neural network and logistic regression were applied frequently as models of customer churn prediction, but the application of them has been mature and they are difficult to be improved. In this paper, Bayesian Networks, Support Vector Machines, Rough Sets and Survival Analysis were selected for experimental comparison study. An integrated contrast among the four models from the applicability of model in theory and experimental comparison has been processed. Overall, of the four models the Bayesian network model performed best while the Survival analysis did worst.
引用
收藏
页码：3199 / +
页数：2
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