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
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