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Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/14086
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dc.contributor.authorBarateiro, J.pt_BR
dc.contributor.authorGalhardas, H.pt_BR
dc.contributor.editorDatenbank Spektrumpt_BR
dc.date.accessioned2010-04-29T13:54:23Zpt_BR
dc.date.accessioned2014-10-09T13:34:53Zpt_BR
dc.date.accessioned2016-06-01T10:49:11Z-
dc.date.available2010-04-29T13:54:23Zpt_BR
dc.date.available2014-10-09T13:34:53Zpt_BR
dc.date.available2016-06-01T10:49:11Z-
dc.date.issued2005pt_BR
dc.identifier.urihttps://repositorio.lnec.pt/jspui/handle/123456789/14086-
dc.description.abstractData quality tools aim at detecting and correcting data problems that affect the accuracy and efficiency of data analysis applications. We propose a classification of the most relevant commercial and research data quality tools that can be used as a framework for comparing tools and understand their funcionalities.pt_BR
dc.language.isoengpt_BR
dc.publisherDatenbank Spektrumpt_BR
dc.rightsrestrictedAccesspt_BR
dc.subjectData qualitypt_BR
dc.subjectData cleaningpt_BR
dc.subjectProfilingpt_BR
dc.titleA survey of data quality toolspt_BR
dc.typeworkingPaperpt_BR
dc.description.pages15-21pppt_BR
dc.description.sectorCTI-NTIECpt_BR
dc.description.year2005pt_BR
Appears in Collections:CD/NTIEC - Comunicações a congressos e artigos de revista

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