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Article: A slippery genetic algorithm-based process mining system for achieving better quality assurance in the garment industry

TitleA slippery genetic algorithm-based process mining system for achieving better quality assurance in the garment industry
Authors
Lee, KHCChoy, KLHo, GTSLam, CHY
KeywordsBiological slippage
Fuzzy association rule mining
Garment industry
Genetic algorithm
Quality assurance
Issue Date2016
Citation
Expert Systems with Applications, 2016, v. 46, p. 236-248 How to Cite?
DOI: http://dx.doi.org/10.1016/j.eswa.2015.10.035
Persistent Identifierhttp://hdl.handle.net/10722/229204
ISI Accession Number ID
WOS:000367112400019

 

DC FieldValueLanguage
dc.contributor.authorLee, KHC-
dc.contributor.authorChoy, KL-
dc.contributor.authorHo, GTS-
dc.contributor.authorLam, CHY-
dc.date.accessioned2016-08-23T14:09:38Z-
dc.date.available2016-08-23T14:09:38Z-
dc.date.issued2016-
dc.identifier.citationExpert Systems with Applications, 2016, v. 46, p. 236-248-
dc.identifier.urihttp://hdl.handle.net/10722/229204-
dc.languageeng-
dc.relation.ispartofExpert Systems with Applications-
dc.subjectBiological slippage-
dc.subjectFuzzy association rule mining-
dc.subjectGarment industry-
dc.subjectGenetic algorithm-
dc.subjectQuality assurance-
dc.titleA slippery genetic algorithm-based process mining system for achieving better quality assurance in the garment industry-
dc.typeArticle-
dc.identifier.emailLee, KHC: leeckh@hku.hk-
dc.identifier.doi10.1016/j.eswa.2015.10.035-
dc.identifier.scopuseid_2-s2.0-84946779971-
dc.identifier.hkuros261181-
dc.identifier.volume46-
dc.identifier.spage236-
dc.identifier.epage248-
dc.identifier.isiWOS:000367112400019-

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