Data quality and high-dimensional data analysis proceedings of the DASFAA 2008 workshops (World Scientific, 2009)
"The first International Workshop on Data Quality in Collaborative Information Systems was held in conjunction with the 13th International Conference on Database Systems for Advanced Applications, 19-22nd March, 2008, in New Delhi, India. The present volume contains the text for four accepted papers and two invited papers presented at the workshop, as well as one additional paper presented at the co-located workshop on analysis of high dimensional descrete data."--Preface
Includes author index
Genomic information quality / Qing Liu and Xuemin Lin -- DeepDetect : an extensible system for detecting attribute outliers & duplicates in XML / Qiangfeng Peter Lau [and others] -- CHARIOT : a comprehensive data integration and quality assurance model for agro-meteorological data / Mark Anthony F. Mateo and Carson Kai-Sang Leung -- Assessing data quality within available context / Jingyu Han, Dawei Jiang and Zhiming Ding -- Data quality for decision support -- the Indian banking scenario / Hemalatha Diwakar and Alka Vaidya -- An approach to cadastral map quality evaluation in the Republic of Latvia / Anita Jansone -- SNP selection for psychiatric disease association based on Allele Frequency Plots / E. Fuster-Garcia [and others]
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