| Title: | vdqam: a toolkit for database quality evaluation based on visual morphology |
| Author: | Teng Dongxing
; Yang Haiyan
; Ma Cuixia
; Wang Hongan
|
| Source: | IEEE Conference on Visual Analytics Science and Technology 2012, VAST 2012 - Proceedings
|
| Conference Name: | 2012 IEEE Conference on Visual Analytics Science and Technology, VAST 2012
|
| Conference Date: | October 14, 2012 - October 19, 2012
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| Issued Date: | 2012
|
| Conference Place: | Seattle, WA, United states
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| Keyword: | Data mining
; Data reduction
; Graphical user interfaces
; Loading
; Losses
; Morphology
|
| Indexed Type: | EI
|
| ISBN: | 9781467347532
|
| Department: | (1) Institute of Software Chinese Academy of Sciences Beijing China
|
| Sponsorship: | IEEE Visualization and Graphics Technical Committee (VGTC)
|
| 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. © 2012 IEEE. |
| English 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. © 2012 IEEE. |
| Language: | 英语
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| Content Type: | 会议论文
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| URI: | http://ir.iscas.ac.cn/handle/311060/15822
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| Appears in Collections: | 软件所图书馆_会议论文
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| Recommended Citation: | |
Teng Dongxing,Yang Haiyan,Ma Cuixia,et al. vdqam: a toolkit for database quality evaluation based on visual morphology[C]. 见:2012 IEEE Conference on Visual Analytics Science and Technology, VAST 2012. Seattle, WA, United states. October 14, 2012 - October 19, 2012.
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