Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling
Abstract
Nowadays, telecom industry faces fierce competition in satisfying its customers. This competition thus requires an efficient churn prediction system to identify customers who are ready to quit. Such churn customers are then retained through addressing relevant reasons identified by the churn prediction system. Therefore, now the role of churn prediction system is not only restricted to accurately predict churners but also to interpret customer...
Paper Details
Title
Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling
Published Date
Sep 25, 2017
Journal
Volume
22
Issue
S3
Pages
7241 - 7255
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