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KDD, SEMMA and CRISP-DM: a parallel overview

dc.contributor.authorAzevedo, Ana
dc.contributor.authorSantos, Manuel Filipe
dc.contributor.editorInstituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do Porto
dc.date.accessioned2012-06-14T09:51:14Z
dc.date.available2012-06-14T09:51:14Z
dc.date.issued2008
dc.description.abstractIn the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Included on these efforts there can be enumerated SEMMA and CRISP-DM. Both grow as industrial standards and define a set of sequential steps that pretends to guide the implementation of data mining applications. The question of the existence of substantial differences between them and the traditional KDD process arose. In this paper, is pretended to establish a parallel between these and the KDD process as well as an understanding of the similarities between them.por
dc.identifier.urihttp://hdl.handle.net/10400.22/136
dc.language.isoengpor
dc.relation.publisherversionhttp://www.iadisportal.org/digital-library/kdd-semma-and-crisp-dm-a-parallel-overview
dc.subjectData mining standardspor
dc.subjectKnowledge discovery in databasespor
dc.subjectData miningpor
dc.titleKDD, SEMMA and CRISP-DM: a parallel overviewpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleIADS - DMpor
oaire.citation.titleIADIS European Conference Data Mining 2008
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.typearticlepor
relation.isAuthorOfPublicationd86b3493-7f70-42bd-a134-7724288f02b1
relation.isAuthorOfPublication.latestForDiscoveryd86b3493-7f70-42bd-a134-7724288f02b1

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