Interactive Data Selection
Interactive Data Selection is a methodological framework within interactive filtering that enables users to dynamically specify criteria for subset extraction through iterative, real-time engagement with data visualization or query interfaces.
15
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733
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55
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31
Institutions
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2017–2026
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Zenodo (CERN European Organization for Nuclear Research) · 2019 · 152 citations · Full text
Scattering Points in Parallel Coordinates
Xiaoru Yuan, Peihong Guo, He Xiao et al. · IEEE Transactions on Visualization and Computer Graphics · 2009 · 138 citations
Zenodo (CERN European Organization for Nuclear Research) · 2022 · 105 citations · Full text
Selection: 524,288 ways to say "this is interesting"
G.J. Wills · 2002 · 91 citations
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Zhejiang University
Hangzhou, China
2 h-index
3 publications
76 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
3 publications
72 citations

Peking University
Beijing, China
2 h-index
9 publications
1.1K citations
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer
Barcelona, Spain
1 h-index
1 publications
47 citations
University of Maryland, Baltimore County
Baltimore, United States
1 h-index
2 publications
44 citations
University of Oklahoma
Norman, United States
1 h-index
1 publications
52 citations
National University of Singapore
Singapore, Singapore
1 h-index
4 publications
144 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
13 citations
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TVCG · 4 publications · 363 citations
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1 publications · 25 citations
1
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1 publications · 52 citations
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1 publications · 21 citations
1
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1 publications · 47 citations
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