Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/16348
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dc.contributor.authorCordeiro, B.-
dc.contributor.authorAlturas, B.-
dc.contributor.authorMoro, S.-
dc.date.accessioned2018-07-12T11:33:29Z-
dc.date.available2018-07-12T11:33:29Z-
dc.date.issued2017-
dc.identifier10.23919/CISTI.2017.7975719en_US
dc.identifier.isbn978-989-98434-7-9-
dc.identifier.issn2166-0727-
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-40368-
dc.identifier.urihttp://hdl.handle.net/10071/16348-
dc.description.abstractBusiness Intelligence (BI) is an emergent domain with numerous implementation projects proliferating in the industry. However, several factors may influence the success of such projects. This study addresses the identification of the relevant dimensions that may affect success for leveraging a future empirical analysis of BI projects in Portugal through data mining using the quantitative features hereby identified.por
dc.language.isoporpor
dc.publisherIEEEpor
dc.relationUID/MULTI/0446/2013por
dc.rightsopenAccesspor
dc.subjectBusiness intelligencepor
dc.subjectData miningpor
dc.subjectProject managementpor
dc.subjectSuccess factorspor
dc.subjectTechnology acceptancepor
dc.titleAnálise das dimensões influenciadoras do sucesso em projetos de BI através de data miningpor
dc.typeconferenceObjectpor
dc.peerreviewedyespor
dc.journal12th Iberian Conference on Information Systems and Technologies, CISTI 2017en_US
degois.publication.locationLisboapor
degois.publication.title12th Iberian Conference on Information Systems and Technologies, CISTI 2017por
dc.date.updated2018-07-12T11:32:49Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.23919/CISTI.2017.7975719-
Aparece nas coleções:ISTAR-CRI - Comunicações a conferências internacionais

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