Open AccessA Neural Network based Approach for Predicting Customer Churn in Cellular Network Services
Author(s) -
Anuj Sharma,
Prabin Kumar Panigrahi
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/3344-4605
Subject(s) - computer science , artificial neural network , task (project management) , customer retention , customer relationship management , artificial intelligence , business , marketing , service (business) , service quality , management , database , economics
Marketing literature states that it is more costly to engage a new customerthan to retain an existing loyal customer. Churn prediction models aredeveloped by academics and practitioners to effectively manage and controlcustomer churn in order to retain existing customers. As churn management is animportant activity for companies to retain loyal customers, the ability tocorrectly predict customer churn is necessary. As the cellular network servicesmarket becoming more competitive, customer churn management has become acrucial task for mobile communication operators. This paper proposes a neuralnetwork based approach to predict customer churn in subscription of cellularwireless services. The results of experiments indicate that neural networkbased approach can predict customer churn.Comment: 6 Pages. International Journal of Computer Applications August 201