Service-mining based on knowledge and customer databases

Li, Yan and Wen, Peng and Wang, Hu and Gong, Chunqiang (2007) Service-mining based on knowledge and customer databases. In: KSEM 2007: 2nd International Conference on Knowledge Science, Engineering and Management, 28-30 Nov 2007, Melbourne, Australia.

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Official URL: http://www.springerlink.com/content/5244484285402124/

Identification Number or DOI: doi: 10.1007/978-3-540-76719-0_63

Abstract

This paper addresses a service-mining technique and applies this technique to improve the services of vehicle service centers. We propose a service-mining system and its data structure to discover the most important services required through analyzing service records, feedback records and the available products. The system can improve the quality of mining automatically by updating mining strategies regularly.

Item Type:Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Additional Information:Series: Lecture Notes in Computer Science, v. 4798, 2007. Author's version deposited in accordance with the copyright policy of the publisher, Springer.
Uncontrolled Keywords:service-mining; behaviour prediction; vehicle service; customer relationship management
Fields of Research (FOR2008):15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150301 Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence)
15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150302 Business Information Systems
08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Subjects:280000 Information, Computing and Communication Sciences > 280100 Information Systems > 280102 Information Systems Management
Socio-Economic Objective (SEO2008):E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
ID Code:3683
Deposited By:
Deposited On:22 Jan 2008 15:41
Last Modified:01 Aug 2012 14:52

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