Churn prediction methodologies in the telecommunications sector: A survey

W. M. C. Bandara · Amal Shehan Perera · Damminda Alahakoon

13 citations0/0 files storedInternational Conference on Advances in ICT for Emerging Regions

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Customer churn and segmentation Customer Service Quality and Loyalty Online Learning and Analytics

Abstract

Predicting customer churn is a critical requirement of many if not all companies dependent on customer subscription services. The telecommunication sector is especially impacted due to the rival competition being very high and since tariff rates are maintained at a lower level. This paper describes the efforts made by researchers to build successful churn prediction models highlighting their special characteristics.

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2005Applying data mining to telecom churn management 2002Turning telecommunications call details to churn prediction: a data mining approach 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach 2004Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market 2008Customer churn prediction using improved balanced random forests 2011Customer churn prediction in telecommunications 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry 2009Customer churn prediction by hybrid neural networks

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