The study on feature selection in customer churn prediction modeling

Authors:
Yin Wu;Jiayin Qi;Chen Wang
Affiliations:
School of Economic and Management, Beijing University of Posts and Telecommunications, Beijing, China;School of Economic and Management, Beijing University of Posts and Telecommunications, Beijing, China and Department of Information Systems and Operations Management, University of Washington Busi ...;IBM China Research Laboratory, IBM, Beijing, P. R. China
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

When the customer churn prediction model is built, a large number of features bring heavy burdens to the model and even decrease the accuracy. This paper is aimed to review the feature selection, to compare the algorithms from different fields and to design a framework of feature selection for customer churn prediction. Based on the framework, the author experiment on the structured module with some telecom operator's marketing data to verify the efficiency of the feature selection framework.