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

Autores:
Ariza-Jimenez L.
Villa, LF
Pinel N.
Lucia Quintero M, O.
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/26766
Acceso en línea:
https://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13658
http://hdl.handle.net/10784/26766
Palabra clave:
Rights
License
https://v2.sherpa.ac.uk/id/publication/issn/1743-8187
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network_name_str Repositorio EAFIT
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spelling 2021-03-23T19:52:12Z2020-12-112021-03-23T19:52:12Zhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=136581743818717438195http://hdl.handle.net/10784/26766engInderscience Enterprises Ltd.https://v2.sherpa.ac.uk/id/publication/issn/1743-8187Acceso abiertohttp://purl.org/coar/access_right/c_abf2International Journal Of Business Intelligence And Data MiningExtracted information quality, a comparative study in high and low dimensionsacceptedVersioninfo:eu-repo/semantics/acceptedVersionarticleinfo:eu-repo/semantics/articleArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Universidad EAFIT. Departamento de CienciasAriza-Jimenez L.Villa, LFPinel N.Lucia Quintero M, O.Biodiversidad, Evolución y ConservaciónInternational Journal Of Business Intelligence And Data Mining10784/26766oai:repository.eafit.edu.co:10784/267662022-04-27 15:50:00.941metadata.onlyhttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Extracted information quality, a comparative study in high and low dimensions
title Extracted information quality, a comparative study in high and low dimensions
spellingShingle Extracted information quality, a comparative study in high and low dimensions
title_short Extracted information quality, a comparative study in high and low dimensions
title_full Extracted information quality, a comparative study in high and low dimensions
title_fullStr Extracted information quality, a comparative study in high and low dimensions
title_full_unstemmed Extracted information quality, a comparative study in high and low dimensions
title_sort Extracted information quality, a comparative study in high and low dimensions
dc.creator.fl_str_mv Ariza-Jimenez L.
Villa, LF
Pinel N.
Lucia Quintero M, O.
dc.contributor.department.spa.fl_str_mv Universidad EAFIT. Departamento de Ciencias
dc.contributor.author.none.fl_str_mv Ariza-Jimenez L.
Villa, LF
Pinel N.
Lucia Quintero M, O.
dc.contributor.researchgroup.spa.fl_str_mv Biodiversidad, Evolución y Conservación
publishDate 2020
dc.date.issued.none.fl_str_mv 2020-12-11
dc.date.available.none.fl_str_mv 2021-03-23T19:52:12Z
dc.date.accessioned.none.fl_str_mv 2021-03-23T19:52:12Z
dc.type.eng.fl_str_mv acceptedVersion
info:eu-repo/semantics/acceptedVersion
article
info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13658
dc.identifier.issn.none.fl_str_mv 17438187
17438195
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/26766
url https://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13658
http://hdl.handle.net/10784/26766
identifier_str_mv 17438187
17438195
dc.language.iso.eng.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv https://v2.sherpa.ac.uk/id/publication/issn/1743-8187
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv https://v2.sherpa.ac.uk/id/publication/issn/1743-8187
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.publisher.none.fl_str_mv Inderscience Enterprises Ltd.
publisher.none.fl_str_mv Inderscience Enterprises Ltd.
dc.source.none.fl_str_mv International Journal Of Business Intelligence And Data Mining
institution Universidad EAFIT
repository.name.fl_str_mv Repositorio Institucional Universidad EAFIT
repository.mail.fl_str_mv repositorio@eafit.edu.co
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