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Data Quality and High-dimensional Data Analysis
Proceedings of the DASFAA 2008 Workshops
Chee-Yong Chan
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.
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