DocumentCode :
3550013
Title :
Intelligent data mining and personalisation for customer relationship management
Author :
Wong, Kok Wai ; Chun Che Fung ; Gedeon, Tamas ; Chai, Douglas
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume :
3
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
1796
Abstract :
Customer relationship management (CRM) initiatives have gained much attention in recent years. With the aid of data mining technology, businesses can formulate specific strategies for different customer bases more precisely. Additionally, personalisation is another important issue in CRM - especially when a company has a huge product range. This paper presents a case model and investigates the use of computational intelligent techniques for CRM. These techniques allow the complex functions of relating customer behaviour to internal business processes to be learned more easily and the industry expertise and experience from business managers to be integrated into the modelling framework directly. Hence, they can be used in the CRM framework to enhance the creation of targeted strategies for specific customer bases.
Keywords :
business data processing; customer relationship management; data mining; knowledge based systems; personal information systems; computational intelligent techniques; customer bases; customer behaviour; customer relationship management; industry expertise; intelligent data mining; internal business processes; Companies; Competitive intelligence; Computational intelligence; Computer science; Customer relationship management; Data engineering; Data mining; Information technology; Mathematics; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1469431
Filename :
1469431
Link To Document :
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