Title :
A Study on Prediction of Customer Churn in Fixed Communication Network Based on Data Mining
Author :
He, Yue ; He, Zhenglin ; Zhang, Dan
Author_Institution :
Bus. Sch., Sichuan Univ., Chengdu, China
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.
Keywords :
customer relationship management; data mining; radial basis function networks; RBF neural network; analog complexion cluster; big customer churn; data mining; fixed communication network; marketing; prediction model; Business communication; Clustering algorithms; Communication networks; Data mining; Electronic mail; Helium; Marketing management; Neural networks; Predictive models; Telecommunications; Analog Complexion; Customers Churn; Radial-Basis Function;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.767
