Pattern Discovery

Pattern Discovery is the systematic identification of recurring structures, trends, or relationships within time series data through exploratory analytical techniques to reveal inherent temporal dynamics not captured by formal models.

1.1K

Publications

75K

Citations

2.6K

Authors

993

Institutions

Publications per year

2017–2026

242

Authors

2.6K

  1. EK
    Eamonn Keogh

    University of California, Riverside, United States

    45 publications · 7.4K citations

    35

    h-index

  2. JL
    Jessica Lin

    George Mason University, United States

    18 publications · 3.2K citations

    16

    h-index

  3. AM
    Abdullah Mueen

    University of New Mexico, United States

    15 publications · 2.7K citations

    15

    h-index

  4. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    14 publications · 2.3K citations

    14

    h-index

  5. VR
    Vangipuram Radhakrishna

    Vignana Jyothi Institute of Management, India

    12 publications · 531 citations

    12

    h-index

1–5 of 2.6K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 39 publications · 4.1K citations

    29

    h-index

  2. Data Mining and Knowledge Discovery

    19 publications · 2.7K citations

    18

    h-index

  3. Information Sciences

    16 publications · 543 citations

    14

    h-index

  4. Expert Systems with Applications

    20 publications · 750 citations

    14

    h-index

  5. arXiv (Cornell University)

    Repository · 17 publications · 730 citations

    14

    h-index

1–5