vdqam: a toolkit for database quality evaluation based on visual morphology

ISCAS OpenIR

	vdqam: a toolkit for database quality evaluation based on visual morphology
	Teng Dongxing; Yang Haiyan; Ma Cuixia; Wang Hongan
	2012
会议名称	2012 IEEE Conference on Visual Analytics Science and Technology, VAST 2012
会议录名称	IEEE Conference on Visual Analytics Science and Technology 2012, VAST 2012 - Proceedings
页码	245-246
会议日期	October 14, 2012 - October 19, 2012
会议地点	Seattle, WA, United states
收录类别	EI
ISBN	9781467347532
部门归属	(1) Institute of Software Chinese Academy of Sciences Beijing China
摘要	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.; 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.
关键词	Data Mining Data Reduction Graphical User Interfaces Loading Losses Morphology
主办者	IEEE Visualization and Graphics Technical Committee (VGTC)
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15822
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Teng Dongxing,Yang Haiyan,Ma Cuixia,et al. vdqam: a toolkit for database quality evaluation based on visual morphology[C],2012:245-246.