Publication:
Intelligent Association Rules for Innovative SME Collaboration

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dc.contributor.authorSENNAROĞLU, BAHAR
dc.contributor.authorsKayakutlu, Gulgun; Duzdar, Irem; Mercier-Laurent, Eunika; Sennaroglu, Bahar
dc.contributor.editorMercierLaurent, E
dc.contributor.editorOwoc, ML
dc.contributor.editorBoulanger, D
dc.date.accessioned2022-03-12T04:16:23Z
dc.date.accessioned2026-01-11T18:38:37Z
dc.date.available2022-03-12T04:16:23Z
dc.date.issued2015
dc.description.abstractSMEs are encouraged to collaborate for research and innovation in order to survive in tough global competition. Even the technology SMEs with high knowledge capital have the fear to collaborate with other SMEs or bigger companies. This study aims to illuminate the preferences in customer, supplier and competitor collaboration within industry or inter industry. A survey is run on more than 110 companies and Machine Learning methods are used to define the association rules that will lead for success.
dc.identifier.doi10.1007/978-3-319-28868-0_9
dc.identifier.eissn1868-422X
dc.identifier.isbn978-3-319-28868-0; 978-3-319-28867-3
dc.identifier.issn1868-4238
dc.identifier.urihttps://hdl.handle.net/11424/223402
dc.identifier.wosWOS:000371571500009
dc.language.isoeng
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.ispartofARTIFICIAL INTELLIGENCE FOR KNOWLEDGE MANAGEMENT, AI4KM 2014
dc.relation.ispartofseriesIFIP Advances in Information and Communication Technology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCollaborative innovation
dc.subjectAssociation rules
dc.subjectSVM
dc.subjectSOM
dc.subjectRESEARCH-AND-DEVELOPMENT
dc.subjectKNOWLEDGE
dc.subjectPERFORMANCE
dc.subjectSECTOR
dc.titleIntelligent Association Rules for Innovative SME Collaboration
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage164
oaire.citation.startPage150
oaire.citation.titleARTIFICIAL INTELLIGENCE FOR KNOWLEDGE MANAGEMENT, AI4KM 2014
oaire.citation.volume469

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