Pattern Mining

Pattern Mining is a methodological contribution in the field of text mining that identifies and extracts recurring, meaningful structures or relationships within textual data, distinguished from other analytical methods by its focus on discovering latent patterns such as sequences, associations, or configurations that characterize underlying textual phenomena.

1.3K

Publications

91K

Citations

3.2K

Authors

1.1K

Institutions

Publications per year

2017–2026

363

Authors

3.2K

  1. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    32 publications · 12.9K citations

    28

    h-index

  2. UY
    Unil Yun

    Sejong University, South Korea

    38 publications · 1.5K citations

    26

    h-index

  3. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    33 publications · 1.5K citations

    24

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    15 publications · 1.9K citations

    15

    h-index

  5. XW
    Xindong Wu

    Hefei University of Technology, China

    15 publications · 609 citations

    14

    h-index

1–5 of 3.2K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 37 publications · 7K citations

    32

    h-index

  2. Expert Systems with Applications

    28 publications · 1.2K citations

    21

    h-index

  3. IEEE Access

    29 publications · 923 citations

    20

    h-index

  4. Data Mining and Knowledge Discovery

    17 publications · 898 citations

    16

    h-index

  5. ACM SIGKDD Explorations Newsletter

    17 publications · 821 citations

    14

    h-index

1–5