13 - 18 OCTOBER 2013, ATLANTA, GEORGIA, USA

DQvis: A Toolkit for Visual Quality Analysis for Relational Database

Contributors: 
Kun Wang, Dongxing Teng, Haiyan Yang, Cuixia Ma, Hongan Wang
Description
Data quality plays an important role in information systems visual analysis is an effective and efficient method of data quality evaluation. As most of the existing researches of visual data quality analysis are aimed at specific kinds of problems instead of an overall solution, we propose a relatively complete solution for data quality analysis of relational database, including the seldom researched normal form analysis. Then we built a set of interactive visual forms and finally develop a toolkit DQvis to facilitate data quality analysis.