DocumentCode :
3539831
Title :
Churn prediction methodologies in the telecommunications sector: A survey
Author :
Bandara, W.M.C. ; Perera, A.S. ; Alahakoon, D.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
fYear :
2013
fDate :
11-15 Dec. 2013
Firstpage :
172
Lastpage :
176
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.
Keywords :
consumer behaviour; telecommunication industry; churn prediction methodologies; customer churn preduction; customer subscription services; telecommunications sector; Accuracy; Artificial neural networks; Companies; Decision trees; Expert systems; Predictive models; Telecommunications; Telecommunication; churn prediction; customer retention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4799-1275-9
Type :
conf
DOI :
10.1109/ICTer.2013.6761174
Filename :
6761174
Link To Document :
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