Visual Pattern Mining
Visual Pattern Mining is a computational methodology within visual data exploration that identifies and extracts meaningful, recurring structures or relationships in visual datasets through the integration of automated pattern recognition techniques and interactive visualization tools to enhance human perception and analytical reasoning.
111
Publications
5.9K
Citations
325
Authors
131
Institutions
Publications per year
2017–2026
20
Parents
111
Finding interesting rules from large sets of discovered association rules
Mika Klemettinen, Heikki Mannila, P. Ronkainen et al. · 1994 · 719 citations
Discovery of Collocation Patterns: from Visual Words to Visual Phrases
Junsong Yuan, Ying Wu, Ming Yang · 2007 · 238 citations
Discovering informative patterns and data cleaning
Isabelle Guyon, Nada Matic, Vladimir Vapnik · 1996 · 235 citations
Alfred Inselberg · 2002 · 230 citations
1–5 of 111
325
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131
Northwestern University
Evanston, United States
9 h-index
18 publications
1.3K citations
Nanyang Technological University
Singapore, Singapore
7 h-index
12 publications
404 citations
Columbia University
New York, United States
3 h-index
5 publications
136 citations

Zhejiang University
Hangzhou, China
3 h-index
13 publications
692 citations

University of Manitoba
Winnipeg, Canada
3 h-index
13 publications
653 citations
University of Illinois Chicago
Chicago, United States
3 h-index
10 publications
256 citations

The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
170 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
58 citations
1–8 of 131
TVCG · 4 publications · 667 citations
4
h-index
JVLC · 3 publications · 69 citations
3
h-index
3 publications · 157 citations
3
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2 publications · 111 citations
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2 publications · 123 citations
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