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

Authors

325

  1. JY
    Junsong Yuan

    Nanyang Technological University, Singapore

    10 publications · 554 citations

    10

    h-index

  2. YW
    Ying Wu

    Northwestern University, United States

    8 publications · 511 citations

    8

    h-index

  3. MY
    Ming Yang

    Northwestern University, United States

    3 publications · 361 citations

    3

    h-index

  4. CK
    Carson K. Leung

    University of Manitoba, Canada

    3 publications · 144 citations

    3

    h-index

  5. GZ
    Gangqiang Zhao

    Nanyang Technological University, Singapore

    3 publications · 80 citations

    3

    h-index

1–5 of 325

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 667 citations

    4

    h-index

  2. Journal of Visual Languages & Computing

    JVLC · 3 publications · 69 citations

    3

    h-index

  3. Perception & Psychophysics

    3 publications · 157 citations

    3

    h-index

  4. Bioinformatics

    2 publications · 111 citations

    2

    h-index

  5. Computers & Graphics

    2 publications · 123 citations

    2

    h-index

1–5