Temporal Pattern Mining

Temporal Pattern Mining is a data mining task that identifies recurring, significant, and non-trivial temporal structures in time-stamped data by distinguishing patterns characterized by their temporal order, duration, or frequency from atemporal or static patterns.

313

Publications

14.5K

Citations

688

Authors

323

Institutions

Publications per year

2017–2026

60

Authors

688

  1. VR
    Vangipuram Radhakrishna

    Vignana Jyothi Institute of Management, India

    32 publications · 1.4K citations

    26

    h-index

  2. PV
    P. V. Kumar

    Osmania University, India

    24 publications · 955 citations

    22

    h-index

  3. VJ
    V. Janaki

    Osmania University, India

    23 publications · 919 citations

    21

    h-index

  4. SA
    Shadi Aljawarneh

    Jordan University of Science and Technology, Jordan

    16 publications · 720 citations

    15

    h-index

  5. AC
    Aravind Cheruvu

    Jordan University of Science and Technology, Jordan

    8 publications · 382 citations

    8

    h-index

1–5 of 688

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 16 publications · 1.2K citations

    16

    h-index

  2. Knowledge and Information Systems

    13 publications · 560 citations

    12

    h-index

  3. Expert Systems with Applications

    14 publications · 589 citations

    11

    h-index

  4. Information Sciences

    8 publications · 139 citations

    8

    h-index

  5. Data & Knowledge Engineering

    DKE · 5 publications · 487 citations

    5

    h-index

1–5