Unsupervised Pattern Mining

Unsupervised Pattern Mining is a data analysis technique that identifies inherent structures and recurring relationships within datasets without relying on labeled outcomes or prior knowledge.

76

Publications

4.3K

Citations

240

Authors

113

Institutions

Publications per year

2017–2026

17

Authors

240

  1. JP
    J.‐G. Postaire

    Laboratoire d'Automatique, Génie Informatique et Signal, France

    2 publications · 151 citations

    2

    h-index

  2. JN
    Jide Niu

    Tianjin University, China

    2 publications · 52 citations

    2

    h-index

  3. RY
    Roman Yangarber

    University of Helsinki, Finland

    2 publications · 221 citations

    2

    h-index

  4. JA
    John A. Flanagan

    Nokia (Finland), Finland

    2 publications · 48 citations

    2

    h-index

  5. AB
    Ahmad Bisyri Husin Musawi Maliki

    Sultan Zainal Abidin University, Malaysia

    2 publications · 83 citations

    2

    h-index

1–5 of 240

Venues

  1. 2

    h-index

  2. Intelligent Data Analysis

    IDA · 2 publications · 28 citations

    2

    h-index

  3. IEEE Transactions on Neural Networks

    2 publications · 104 citations

    2

    h-index

  4. Pattern Recognition

    2 publications · 89 citations

    2

    h-index

  5. 2

    h-index

1–5