DocumentCode :
1942692
Title :
An Evolving Information System Based on Data Mining Knowledge to Support Customer Relationship Management
Author :
Ren, Ming ; Chen, Zuoliang ; Liu, Chuanlan ; Chen, Guoqing
Author_Institution :
Sch. of Econ. & Manage., Tsinghua Univ., Beijing
fYear :
2008
fDate :
28-29 Sept. 2008
Firstpage :
1
Lastpage :
5
Abstract :
It is becoming more vital than ever before for business to manage customer relationship and build customer loyalty. Information systems and data mining techniques have significant contributions in the customer relationship management process. In the dynamic business environment, information systems need to evolve to adapt to the change in requirements, which is driven by customer relationship management. An evolving information system is proposed in this paper and discussed by focusing on a specific type of knowledge, namely association rule. With new classes and attributes created based on new knowledge and user requirements, the evolving information system is capable of collecting, processing and providing more valuable information on customers, to support customer relationship management.
Keywords :
customer relationship management; data mining; information systems; association rule; customer loyalty; customer relationship management; data mining knowledge; data mining techniques; dynamic business environment; evolving information system; Association rules; Customer relationship management; Data mining; Environmental economics; Environmental factors; Erbium; Humans; Information systems; Knowledge management; Management information systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Management of Information for Globalized Enterprises, 2008. AMIGE 2008. IEEE Symposium on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-3694-1
Electronic_ISBN :
978-1-4244-2972-1
Type :
conf
DOI :
10.1109/AMIGE.2008.ECP.62
Filename :
4721504
Link To Document :
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