Visual Pattern Discovery

Visual Pattern Discovery is a computational process that identifies meaningful, recurring structures or relationships in visual data through perceptual and algorithmic techniques, distinguished from other data mining approaches by its reliance on human vision and interactive visualization to guide and validate the discovery of patterns.

87

Publications

4.2K

Citations

261

Authors

114

Institutions

Publications per year

2017–2026

16

Authors

261

  1. JY
    Junsong Yuan

    Nanyang Technological University, Singapore

    11 publications · 568 citations

    11

    h-index

  2. YW
    Ying Wu

    Northwestern University, United States

    8 publications · 511 citations

    8

    h-index

  3. DA
    Daniel A. Keim

    University of Konstanz, Germany

    3 publications · 60 citations

    3

    h-index

  4. MY
    Ming Yang

    Northwestern University, United States

    3 publications · 361 citations

    3

    h-index

  5. HW
    Hongxing Wang

    Chongqing University, China

    3 publications · 57 citations

    3

    h-index

1–5 of 261

Venues

  1. Information Visualization

    4 publications · 175 citations

    4

    h-index

  2. IEEE Transactions on Image Processing

    3 publications · 76 citations

    3

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 383 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 56 citations

    2

    h-index

  5. International Journal of Multimedia Information Retrieval

    IJMIR · 1 publications · 51 citations

    1

    h-index

1–5