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