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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
Issue Date2016
Citation
Expert Systems with Applications, 2016, v. 46, p. 236-248 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/229204

 

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.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.hkuros261181-
dc.identifier.volume46-
dc.identifier.spage236-
dc.identifier.epage248-

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