Visual Data Mining
Visual Data Mining is an academic concept that refers to a human-centred process of discovering implicit, previously unknown, and valuable patterns in data through interactive visual interfaces, distinguished from automated data mining by its emphasis on integrating human judgment and perceptual cognition into the analytical workflow.
1.4K
Publications
78K
Citations
4K
Authors
1.3K
Institutions
Publications per year
2017–2026
417
1.4K
ROCR: visualizing classifier performance in R
Tobias Sing, Oliver Sander, Niko Beerenwinkel et al. · Computer applications in the biosciences · 2005 · 3.3K citations · Full text
Kushal Dave, Steve Lawrence, David M. Pennock · 2003 · 1.9K citations
Orange: data mining toolbox in python
Janez Demšar, Tomaž Curk, Aleš Erjavec et al. · Journal of Machine Learning Research · 2013 · 1.6K citations
1–5 of 1.4K
4K
17
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12
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12
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Hong Kong University of Science and Technology, Hong Kong SAR China
11 publications · 918 citations
11
h-index
1–5 of 4K
1.3K
Microsoft Research Asia (China)
Beijing, China
15 h-index
32 publications
2.2K citations

Zhejiang University
Hangzhou, China
14 h-index
58 publications
2.8K citations
Tsinghua University
Beijing, China
14 h-index
49 publications
2.7K citations
University of Miami
Coral Gables, United States
14 h-index
32 publications
1.2K citations
Florida International University
Miami, United States
14 h-index
38 publications
1.4K citations
Nanyang Technological University
Singapore, Singapore
14 h-index
29 publications
954 citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
29 publications
1K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
13 h-index
23 publications
775 citations
1–8 of 1.3K
TVCG · 43 publications · 5.5K citations
34
h-index
18 publications · 1K citations
15
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15 publications · 1K citations
13
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13 publications · 440 citations
13
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10 publications · 402 citations
10
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1–5