Visual Analytics For Streams
Visual Analytics for Streams is a computational framework that integrates interactive visualization and analytical methods to enable real-time sensemaking of high-velocity, continuous data flows by supporting iterative human-in-the-loop exploration and decision-making.
31
Publications
1.5K
Citations
113
Authors
48
Institutions
Publications per year
2017–2026
9
Parents
31
Interactive visualization of streaming data with Kernel Density Estimation
Ove Daae Lampe, Helwig Hauser · 2011 · 130 citations · Full text
Online Visual Analytics of Text Streams
Jialun Yin, Xiting Wang, Weiwei Cui et al. · IEEE Transactions on Visualization and Computer Graphics · 2015 · 80 citations · Full text
A Survey on Visual Analysis Approaches for Financial Data
Sungahn Ko, I. Cho, Shehzad Afzal et al. · Computer Graphics Forum · 2016 · 75 citations
Computing, Finance, Visualization +16
1–5 of 31
113
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Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 139 citations
2
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2
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1–5 of 113
48
University of Konstanz
Konstanz, Germany
4 h-index
11 publications
334 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
6 publications
164 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
539 citations
North Carolina State University
Raleigh, United States
2 h-index
4 publications
230 citations

University of North Carolina at Charlotte
Charlotte, United States
2 h-index
4 publications
184 citations
Microsoft (United States)
Redmond, United States
2 h-index
11 publications
289 citations

Pacific Northwest National Laboratory
Richland, United States
2 h-index
7 publications
209 citations
Simon Fraser University
Burnaby, Canada
2 h-index
4 publications
131 citations
1–8 of 48
TVCG · 4 publications · 492 citations
4
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3 publications · 124 citations
3
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PVLDB · 1 publications · 11 citations
1
h-index
1 publications · 37 citations
1
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TIST · 1 publications · 43 citations
1
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1–5