Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/VAST.2012.6400531 | Visual Analytics Science and Technology |
Keywords | Field | DocType |
data mining,data visualisation,database management systems,vdqam,cognitive ability,data analysis,data quality evaluation,database quality evaluation,extracting process,loading process,transforming process,visual analysis method,visual morphology,database quality,interactive visualization,visual analysis,visualization,data visualization,morphology | Data science,Data mining,Data visualization,Data quality,Computer science,Visualization,Automation,Graphical user interface,Interactive visualization,Cognition,Database,Data reduction | Conference |
ISSN | ISBN | Citations |
2325-9442 | 978-1-4673-4752-5 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongxing Teng | 1 | 58 | 6.87 |
| haiyan yang | 2 | 35 | 2.40 |
| Cuixia Ma | 3 | 154 | 15.79 |
| Hongan Wang | 4 | 642 | 79.77 |