Pattern Exploration

Pattern Exploration is a scholarly contribution in the field of pattern generation that systematically investigates and characterizes the space of possible patterns to uncover novel structural variations, distinguishing itself by emphasizing discovery, analysis, and interpretation of patterns rather than their mere synthesis or application.

129

Publications

7.7K

Citations

383

Authors

201

Institutions

Publications per year

2017–2026

22

Authors

383

  1. GC
    Gung‐Wei Chirn

    Brandeis University, United States

    2 publications · 195 citations

    2

    h-index

  2. ES
    Eirini Spyropoulou

    University of Bristol, United Kingdom

    2 publications · 38 citations

    2

    h-index

  3. KZ
    Kaizhong Zhang

    Western University, Canada

    2 publications · 195 citations

    2

    h-index

  4. KS
    Kinga Siedlecka

    University of California, Irvine, United States

    2 publications · 118 citations

    2

    h-index

  5. YZ
    Yajing Zhao

    China University of Geosciences (Beijing), China

    2 publications · 109 citations

    2

    h-index

1–5 of 383

Venues

  1. Data Mining and Knowledge Discovery

    4 publications · 238 citations

    4

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 844 citations

    4

    h-index

  3. Pattern Recognition

    4 publications · 267 citations

    4

    h-index

  4. Journal of Systems and Software

    JSS · 3 publications · 118 citations

    3

    h-index

  5. European Journal of Operational Research

    3 publications · 59 citations

    3

    h-index

1–5