Survey on Data Quality and Provenance

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dc.contributor.authorSchmitz, Martin
dc.date.accessioned2021-11-26T08:56:08Z
dc.date.available2021-11-26T08:56:08Z
dc.date.issued2021-11
dc.description.abstractThis technical report summarizes research on data quality, provenance and truth discovery from the last decades. It examines opportunities to use machine learning methods to enhance data quality and provenance. This report can serve as a starting point to nd the key publications of the topics "provenance" and "data quality" and to do further research in those areas in general as well as in combination with machine learning algorithms.en_US
dc.identifier.urihttps://dl.comp.nus.edu.sg/xmlui/handle/1900.100/11099
dc.language.isoenen_US
dc.relation.ispartofseries;TR 11/21
dc.titleSurvey on Data Quality and Provenanceen_US
dc.typeTechnical Reporten_US
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