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.
Preface v
Organizing Committees vii
Genomic Information Quality Qing Liu Xuemin Lin 1
DeepDetect: An Extensible System for Detecting Attribute Outliers & Duplicates in XML Qiangfeng Peter Lau Wynne Hsu Judice L. Y. Koh Mong Li Lee 6
Chariot: A Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorological Data Mark Anthony F. Mateo Carson Kai-Sang Leung 21
Assessing Data Quality Within Available Context Jingyu Han Dawei Jiang Zhiming Ding 42
Data Quality for Decision Support - The Indian Banking Scenario Hemalatha Diwakar Alka Vaidya 60
An Approach to Cadastral Map Quality Evaluation in the Republic of Latvia Anita Jansone 78
SNP Selection for Psychiatric Disease Association Based on Allele Frequency Plots E. Fuster-Garcia, et al. 93
Author Index 106
Overview
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.