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.

PDF (Documentation)

Download (128Kb)
PDF (Documentation)

Download (198Kb)


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.

Statistics for USQ ePrint 3683
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
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.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 22 Jan 2008 05:41
Last Modified: 02 Jul 2013 22:56
Uncontrolled Keywords: service-mining; behaviour prediction; vehicle service; customer relationship management
Fields of Research : 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
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1007/978-3-540-76719-0_63

Actions (login required)

View Item Archive Repository Staff Only