Churn prediction in telecom using a hybrid two-phase feature selection method

Authors:
Xu Hong;Zhang Zigang;Zhang Yishi
Affiliations:
School of Management, Huazhong University of Science and Technology, Wuhan, Hubei, P.R.China;School of Management, Huazhong University of Science and Technology, Wuhan, Hubei, P.R.China;School of Software Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, P.R.China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Costumer feature selection is one of the core issues of Costumer churn prediction in telecom industry. This paper proposes a hybrid two-phase feature selection method which can effectively reduce feature dimension and promote predicting performance by using both traditional expertise approach and Markov blanket discovery technique. Empirical results of a branch of a Chinese wireless telecom company show that it is a feasible and superior method for telecom costumer feature selection. The results also show better performance of our method than the method based on traditional expertise approach.