DocumentCode :
586489
Title :
VDQAM: A toolkit for database quality evaluation based on visual morphology
Author :
Dongxing Teng ; Haiyan Yang ; Cuixia Ma ; Hongan Wang
Author_Institution :
Inst. of Software, Beijing, China
fYear :
2012
fDate :
14-19 Oct. 2012
Firstpage :
245
Lastpage :
246
Abstract :
Data quality evaluation is one of the most critical steps during the data mining processes. Data with poor quality often leads to poor performance in data mining, low efficiency in data analysis, wrong decision which bring great economic loss to users and organizations further. Although many researches have been carried out from various aspects of the extracting, transforming, and loading processes in data mining, most researches pay more attention to analysis automation than to data quality evaluation. To address the data quality evaluation issues, we propose an approach to combine human beings´ powerful cognitive abilities in data quality evaluation with the high efficiency ability of computer, and develop a visual analysis method for data quality evaluation based on visual morphology.
Keywords :
data mining; data visualisation; database management systems; VDQAM; cognitive ability; data analysis; data mining; data quality evaluation; database quality evaluation; extracting process; loading process; transforming process; visual analysis method; visual morphology; Data analysis; Data mining; Data visualization; Morphology; Visual databases; Visualization; Database Quality; Interactive Visualization; Visual Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
Type :
conf
DOI :
10.1109/VAST.2012.6400531
Filename :
6400531
Link To Document :
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