Profit optimizing customer churn prediction with Bayesian network classifiers

Volume: 18, Issue: 1, Pages: 3 - 24
Published: Jan 1, 2014
Abstract
Customer churn prediction is becoming an increasingly important business analytics problem for telecom operators. In order to increase the efficiency of customer retention campaigns, churn prediction models need to be accurate as well as compact and interpretable. Although a myriad of techniques for churn prediction has been examined, there has been little attention for the use of Bayesian Network classifiers. This paper investigates the...
Paper Details
Title
Profit optimizing customer churn prediction with Bayesian network classifiers
Published Date
Jan 1, 2014
Volume
18
Issue
1
Pages
3 - 24
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