DocumentCode
2435956
Title
Research on VIP customer classification rule base on RFM model
Author
Jianping, Wei
Author_Institution
Sch. of Econ. & Manage., Weifang Univ., Weifang, China
fYear
2011
fDate
8-11 Jan. 2011
Firstpage
336
Lastpage
338
Abstract
With the development of society and increasingly fierce competition in the retail industry, seeking and maintaining VIP customers are the focus of competition between supermarkets. The purpose of this study is to dig out the most important VIP customers from all customers, using data mining based on rough set technology. An RFM model is used in classification of VIP customers, which achieves the simplification and extraction of rules. As a result, a new way is provided that managers can quickly determine the customer level.
Keywords
customer relationship management; data mining; retail data processing; rough set theory; RFM model; VIP customer classification rule; customer level; data mining; retail industry; rough set technology; rule extraction; society development; supermarket; Biological system modeling; Classification algorithms; Data mining; Data models; Frequency modulation; Set theory; Time frequency analysis; RFM model; customer classification; data mining; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8383-9
Type
conf
DOI
10.1109/MSIE.2011.5707730
Filename
5707730
Link To Document