Title :
Research on VIP customer classification rule base on RFM model
Author_Institution :
Sch. of Econ. & Manage., Weifang Univ., Weifang, China
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;
Conference_Titel :
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8383-9
DOI :
10.1109/MSIE.2011.5707730
