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Data Quality and High-Dimensional Data Analysis Summary:
Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish. Please select one mirror to download
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Sponsored LinksData Quality and High-Dimensional Data Analysis Keywordsdata quality volume targets grows formats sources collaborative information increasingly establish ownership creation systems diversity increased compromise credibility scientific analysis high dimensional efficiency commercial managing importance endeavours public manifold public endeavoursData Quality and High-Dimensional Data Analysis download copyrightThis site does not store Data Quality and High-Dimensional Data Analysis on its server. We only index and link to Data Quality and High-Dimensional Data Analysis provided by other sites. Please contact the content providers to delete Data Quality and High-Dimensional Data Analysis if any and email us, we'll remove relevant links or contents immediately. |
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