Data Quality And High-dimensional Data Analytics - Proceedings Of The Dasfaa 2008

Poor data quality is known to compromise the credibility and efficiency of public endeavours. The importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This work targets the data quality in the light of collaborative information systems where ownership is difficult to establish.