Interactive Pattern Discovery
Interactive Pattern Discovery is a computational method that enables users to iteratively explore, refine, and extract meaningful patterns from complex datasets through real-time human-in-the-loop interactions.
26
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1.2K
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92
Authors
42
Institutions
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2017–2026
2
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26
Visualizing association rules with interactive mosaic plots
Heike Hofmann, Arno Siebes, Adalbert Wilhelm · 2000 · 131 citations
Andrea Colaço, Ahmed Kirmani, Hye Soo Yang et al. · 2013 · 78 citations
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National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
4 publications
70 citations
Dalhousie University
Halifax, Canada
2 h-index
4 publications
57 citations
Canada's Michael Smith Genome Sciences Centre
Vancouver, Canada
2 h-index
11 publications
433 citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
237 citations

Christian-Albrechts-Universität zu Kiel
Kiel, Germany
1 h-index
2 publications
20 citations
UCSF Helen Diller Family Comprehensive Cancer Center
San Francisco, United States
1 h-index
1 publications
35 citations
Baylor Genetics
Houston, United States
1 h-index
2 publications
70 citations
UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik
Hall in Tirol, Austria
1 h-index
1 publications
223 citations
1–8 of 42
2 publications · 134 citations
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2 publications · 27 citations
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1 publications · 10 citations
1
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1 publications · 41 citations
1
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1 publications · 24 citations
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