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An architecture for an effective usage of data mining in business intelligence systems

dc.contributor.authorAzevedo, Ana
dc.contributor.authorSantos, Manuel Filipe
dc.date.accessioned2012-08-06T11:35:35Z
dc.date.available2012-08-06T11:35:35Z
dc.date.issued2009
dc.description.abstractBusiness Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last years, the evolution in this area has been considerable. Similarly, in the last years, there has been a huge growth and consolidation of the Data Mining (DM) field. DM is being used with success in BI systems, but a truly DM integration with BI is lacking. Therefore, a lack of an effective usage of DM in BI can be found in some BI systems. An architecture that pretends to conduct to an effective usage of DM in BI is presented.por
dc.identifier.urihttp://hdl.handle.net/10400.22/617
dc.language.isoengpor
dc.publisherInstituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do Portopor
dc.subjectKnowledge discovery on databasespor
dc.subjectData miningpor
dc.subjectBusiness intelligencepor
dc.subjectIntegrationpor
dc.titleAn architecture for an effective usage of data mining in business intelligence systemspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMarrocospor
oaire.citation.endPage1325por
oaire.citation.startPage1319por
oaire.citation.titleKnowledge Management and Innovation in Advancing Economies: Analyses & Solutionspor
person.familyNameAzevedo
person.givenNameAna
person.identifier.ciencia-idD913-646F-CE08
person.identifier.orcid0000-0003-0882-3426
person.identifier.ridH-3955-2011
person.identifier.scopus-author-id25960566000
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationd86b3493-7f70-42bd-a134-7724288f02b1
relation.isAuthorOfPublication.latestForDiscoveryd86b3493-7f70-42bd-a134-7724288f02b1

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