Customer churn analysis in the wireless industry: A data mining approach

Abstract

This paper presents a customer churn study in the wireless telecommunications industry. An Oracle database of real customers was analyzed using the Naïve Bayes algorithm data mining option for supervised learning that was implemented through JDeveloper. The results of the study and future directions are then discussed.