DocumentCode
506900
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
Volume
1
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
92
Lastpage
94
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.767
Filename
5358641
Link To Document