A hybrid OLAP-association rule mining based quality management system for extracting defect patterns in the garment industry

Lee, C. K. H., Choy, K. L., Ho, G. T. S., Chin, K. S., Law, M. Y. K. and Tse, Y. K. 2013, A hybrid OLAP-association rule mining based quality management system for extracting defect patterns in the garment industry, Expert systems with applications, vol. 40, no. 7, pp. 2435-2446, doi: 10.1016/j.eswa.2012.10.057.

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Title A hybrid OLAP-association rule mining based quality management system for extracting defect patterns in the garment industry
Author(s) Lee, C. K. H.
Choy, K. L.
Ho, G. T. S.
Chin, K. S.
Law, M. Y. K.ORCID iD for Law, M. Y. K. orcid.org/0000-0003-3659-0033
Tse, Y. K.
Journal name Expert systems with applications
Volume number 40
Issue number 7
Start page 2435
End page 2446
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2013-06-01
ISSN 0957-4174
Keyword(s) Quality management
Garment industry
Garment defect
Association rule mining
OLAP
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Operations Research & Management Science
Computer Science
Engineering
GENETIC ALGORITHM
NEURAL-NETWORK
DESIGN
CLASSIFICATION
FRAMEWORK
TIME
Language eng
DOI 10.1016/j.eswa.2012.10.057
Indigenous content off
Field of Research 01 Mathematical Sciences
08 Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2012, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30116967

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