New insights into churn prediction in the telecommunication sector: a profit driven data mining approach

Volume: 218, Issue: 1, Pages: 211 - 229
Published: Apr 1, 2012
Abstract
null null Customer churn prediction models aim to indicate the customers with the highest propensity to attrite, allowing to improve the efficiency of customer retention campaigns and to reduce the costs associated with churn. Although cost reduction is their prime objective, churn prediction models are typically evaluated using statistically based performance measures, resulting in suboptimal model selection. Therefore, in the first part of...
Paper Details
Title
New insights into churn prediction in the telecommunication sector: a profit driven data mining approach
Published Date
Apr 1, 2012
Volume
218
Issue
1
Pages
211 - 229
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