Extracted information quality, a comparative study in high and low dimensions

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dc.citation.journalTitleInternational Journal Of Business Intelligence And Data Miningeng
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2020-12-11
dc.date.accessioned2021-04-12T14:09:45Z
dc.date.available2021-04-12T14:09:45Z
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13658
dc.identifier.issn17438187
dc.identifier.issn17438195
dc.identifier.urihttp://hdl.handle.net/10784/27857
dc.language.isoengeng
dc.publisherInderscience Enterprises Ltd.
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1743-8187
dc.sourceInternational Journal Of Business Intelligence And Data Mining
dc.titleExtracted information quality, a comparative study in high and low dimensionseng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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