A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules

Kabir, MMJ Xu, S Kang, BH Zhao, Z

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Field	Value	Language
dc.contributor.author	Kabir, MMJ
dc.contributor.author	Xu, S
dc.contributor.author	Kang, BH
dc.contributor.author	Zhao, Z
dc.date.accessioned	2024-10-21T00:45:01Z
dc.date.available	2024-10-21T00:45:01Z
dc.date.issued	2017-05
dc.identifier.citation	Expert Systems with Applications, 2017, 74, pp. 55-69
dc.identifier.issn	0957-4174
dc.identifier.uri	http://hdl.handle.net/10453/181470
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Expert Systems with Applications
dc.relation.isbasedon	10.1016/j.eswa.2017.01.001
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules
dc.type	Journal Article
utslib.citation.volume	74
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Provost
pubs.organisational-group	University of Technology Sydney/Provost/TD School
utslib.copyright.status	closed_access	*
dc.date.updated	2024-10-21T00:44:59Z
pubs.publication-status	Published
pubs.volume	74

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