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

dc.contributorUniversidad EAFIT. Departamento de Ciencias
dc.contributorBiodiversidad, Evolución y Conservación
dc.creatorAriza-Jimenez L.
dc.creatorVilla, LF
dc.creatorPinel N.
dc.creatorLucia Quintero M, O.
dc.date.accessioned2021-03-23T19:52:12Z
dc.date.accessioned2022-09-23T20:35:37Z
dc.date.available2021-03-23T19:52:12Z
dc.date.available2022-09-23T20:35:37Z
dc.date.created2021-03-23T19:52:12Z
dc.date.issued2020-12-11
dc.identifier17438187
dc.identifier17438195
dc.identifierhttp://hdl.handle.net/10784/26766
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3517498
dc.languageeng
dc.publisherInderscience Enterprises Ltd.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAcceso abierto
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 dimensions
dc.typeacceptedVersion
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typearticle
dc.typeinfo:eu-repo/semantics/article


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