A study on prediction of customer churn in fixed communication network based on data mining

Authors:
Yue He;Zhenglin He;Dan Zhang
Affiliations:
Business School, Sichuan University, Chengdu, China;Business School, Sichuan University, Chengdu, China;Business School, Sichuan University, Chengdu, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

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Data Mining: An Overview from a Database Perspective

IEEE Transactions on Knowledge and Data Engineering

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Abstract

In order to solve the problem of big customer churn for fixed communication network operators, a prediction model of customer churn in fixed communication network is first established based on RBF neural network, and it can make prediction on customer churn. Then subdivides customers by Analog Complexion Cluster to guide and help manage marketing and related work.