VIP customer segmentation based on data mining in mobile-communications industry

Author

Yihua, Zhang

Author_Institution

Dept. of Inf. Manage., Jimei Univ., Xiamen, China

fYear

2010

fDate

24-27 Aug. 2010

Firstpage

156

Lastpage

159

Abstract

The data mining is widely used in various industries with its powerful data processing and information mining capabilities. The CRM system has been used popularly, especially in the communications industry. The important component of the CRM system is how to segment customers, which is one of the bases to do the other decisions. An efficient and simple method of the mobile VIP customer segmentation makes the most use of the Customer Value and Customer Behavior model. It extracts the related data from a sample survey data to be the basis of the analytical process, then implements the operation of the mobile VIP customer segmentation and rule discovery, which has some practical values.

Keywords

customer satisfaction; data mining; mobile communication; production engineering computing; telecommunication industry; VIP customer segmentation; customer behavior model; customer value model; data mining; mobile communications industry; rule discovery; very important person; Business; Clustering algorithms; Data mining; Data models; Decision trees; Industries; Mobile communication; VIP; customer behavior; customer segmentation; customer value; data mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Education (ICCSE), 2010 5th International Conference on

Conference_Location

Hefei

Print_ISBN

978-1-4244-6002-1

Type

conf

DOI

10.1109/ICCSE.2010.5593669

Filename

5593669