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Full Description
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.
Contents
Genomic Information Quality; Deep Detect: An Extensible System for Detecting Attribute Outliers and Duplifates in XML; CHARIOT: AN Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorogical Data; Assessing Data Quality within Available Context; SNP Selection for Psychiatric Disease Association Based on Allele Frequency Plots; and other papers.