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Conference Paper: Research and application in supply chain management based on correlation analyze of association rules algorithm

TitleResearch and application in supply chain management based on correlation analyze of association rules algorithm
Authors
Qu, ShouningWang, QinLiu, KuiXu, Dejun
KeywordsAssociation rules
Data mining
SCM
Apriori algorithm
Issue Date2006
Citation
Materials Science Forum, 2006, v. 532-533, p. 1024-1027 How to Cite?
AbstractIn this paper, the association rule algorithm and its defects were analyzed. An improved algorithm was put forward for applying it to analysis the association of products fittings in SCM. The application of improved algorithm can mine which kinds of fittings or sets of items being matched to get a salable product or gain the higher profit. So it can not only instruct customer's consumption but also can help the entrepreneur make a detailed and efficient internal plan.
Persistent Identifierhttp://hdl.handle.net/10722/265531
ISSN
0255-5476
2020 SCImago Journal Rankings: 0.192

 

DC FieldValueLanguage
dc.contributor.authorQu, Shouning-
dc.contributor.authorWang, Qin-
dc.contributor.authorLiu, Kui-
dc.contributor.authorXu, Dejun-
dc.date.accessioned2018-12-03T01:20:56Z-
dc.date.available2018-12-03T01:20:56Z-
dc.date.issued2006-
dc.identifier.citationMaterials Science Forum, 2006, v. 532-533, p. 1024-1027-
dc.identifier.issn0255-5476-
dc.identifier.urihttp://hdl.handle.net/10722/265531-
dc.description.abstractIn this paper, the association rule algorithm and its defects were analyzed. An improved algorithm was put forward for applying it to analysis the association of products fittings in SCM. The application of improved algorithm can mine which kinds of fittings or sets of items being matched to get a salable product or gain the higher profit. So it can not only instruct customer's consumption but also can help the entrepreneur make a detailed and efficient internal plan.-
dc.languageeng-
dc.relation.ispartofMaterials Science Forum-
dc.subjectAssociation rules-
dc.subjectData mining-
dc.subjectSCM-
dc.subjectApriori algorithm-
dc.titleResearch and application in supply chain management based on correlation analyze of association rules algorithm-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-38949091794-
dc.identifier.volume532-533-
dc.identifier.spage1024-
dc.identifier.epage1027-
dc.identifier.issnl0255-5476-

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