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

Vista sencilla de ítem
dc.citation.journalTitleInternational Journal Of Business Intelligence And Data Miningspa
dc.contributor.authorAriza-Jimenez L.
dc.contributor.authorVilla, LF
dc.contributor.authorPinel N.
dc.contributor.authorLucia Quintero M, O.
dc.contributor.departmentUniversidad EAFIT. Departamento de Cienciasspa
dc.contributor.researchgroupCiencias Biológicas y Bioprocesos (CIBIOP)spa
dc.date.accessioned2020-12-11
dc.date.accessioned2021-03-23T20:09:03Z
dc.date.available2021-03-23T20:09:03Z
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13658
dc.identifier.issn17438187spa
dc.identifier.issn17438195spa
dc.identifier.urihttp://hdl.handle.net/10784/26853
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.localArtículo

Archivos

Colecciones

Artículos (CIBIOP)