RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration

doi:10.1109/TVCG.2022.3209463

	RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration
	Liu, Qiangqiang 1; Ren, Yukun 2; Zhu, Zhihua 2; Li, Dai 2; Ma, Xiaojuan 3; Li, Quan4
	2023
发表期刊	IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (IF:4.7[JCR-2023],5.1[5-Year])
ISSN	1077-2626
EISSN	1941-0506
卷号	29 期号:1 页码:1-11
发表状态	已发表
DOI	10.1109/TVCG.2022.3209463
摘要	Projection and ranking are frequently used analysis techniques in multi-attribute data exploration. Both families of techniques help analysts with tasks such as identifying similarities between observations and determining ordered subgroups, and have shown good performances in multi-attribute data exploration. However, they often exhibit problems such as distorted projection layouts, obscure semantic interpretations, and non-intuitive effects produced by selecting a subset of (weighted) attributes. Moreover, few studies have attempted to combine projection and ranking into the same exploration space to complement each others strengths and weaknesses. For this reason, we propose RankAxis, a visual analytics system that systematically combines projection and ranking to facilitate the mutual interpretation of these two techniques and jointly support multi-attribute data exploration. A real-world case study, expert feedback, and a user study demonstrate the efficacy of RankAxis. IEEE
关键词	Data visualization Job analysis Space research Visualization Attribute data Data exploration Dimensionality reduction Layout Multi-attribute data exploration Multi-attributes Projection Ranking Space explorations Task analysis Visual analytics
URL	查看原文
收录类别	EI ; SCOPUS
语种	英语
出版者	IEEE Computer Society
EI入藏号	20224112877761
EI主题词	Semantics
EI分类号	656.2 Space Research ; 723.2 Data Processing and Image Processing ; 723.5 Computer Applications
原始文献类型	Article in Press
来源库	IEEE
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/241107
专题	信息科学与技术学院_PI研究组_李权组
通讯作者	Li, Quan
作者单位	1.ShanghaiTech, China; 2.Corporate Development Group, Tencent,, China; 3.Hong Kong University of Science and Technology, Hong Kong; 4.School of Information Science and Technology, ShanghaiTech University, China
第一作者单位	上海科技大学
通讯作者单位	信息科学与技术学院
第一作者的第一单位	上海科技大学
推荐引用方式 GB/T 7714	Liu, Qiangqiang,Ren, Yukun,Zhu, Zhihua,et al. RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2023,29(1):1-11.
APA	Liu, Qiangqiang,Ren, Yukun,Zhu, Zhihua,Li, Dai,Ma, Xiaojuan,&Li, Quan.(2023).RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,29(1),1-11.
MLA	Liu, Qiangqiang,et al."RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 29.1(2023):1-11.