Temporal Pattern Discovery

Temporal Pattern Discovery is a computational methodology that identifies and characterizes recurring, evolving, or anomalous temporal structures within time-varying data by analyzing the sequential ordering, duration, and timing of events or states over time.

213

Publications

14.3K

Citations

508

Authors

247

Institutions

Publications per year

2017–2026

31

Authors

508

  1. VR
    Vangipuram Radhakrishna

    Vignana Jyothi Institute of Management, India

    25 publications · 1.2K citations

    23

    h-index

  2. PV
    P. V. Kumar

    Osmania University, India

    19 publications · 832 citations

    19

    h-index

  3. VJ
    V. Janaki

    Osmania University, India

    18 publications · 846 citations

    18

    h-index

  4. SA
    Shadi Aljawarneh

    Jordan University of Science and Technology, Jordan

    13 publications · 738 citations

    14

    h-index

  5. AC
    Aravind Cheruvu

    Jordan University of Science and Technology, Jordan

    7 publications · 236 citations

    8

    h-index

1–5 of 508

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 13 publications · 898 citations

    13

    h-index

  2. Knowledge and Information Systems

    10 publications · 477 citations

    10

    h-index

  3. Information Sciences

    4 publications · 78 citations

    4

    h-index

  4. Expert Systems with Applications

    3 publications · 180 citations

    3

    h-index

  5. Soft Computing

    3 publications · 177 citations

    3

    h-index

1–5