Temporal Sequence Mining

Temporal Sequence Mining is a sequence mining methodology that specifically addresses the discovery of patterns in data sequences where the chronological order and timing of events are integral to identifying meaningful relationships.

182

Publications

8K

Citations

481

Authors

236

Institutions

Publications per year

2017–2026

35

Authors

481

  1. VR
    Vangipuram Radhakrishna

    Vignana Jyothi Institute of Management, India

    10 publications · 380 citations

    10

    h-index

  2. VJ
    V. Janaki

    Osmania University, India

    8 publications · 217 citations

    8

    h-index

  3. PV
    P. V. Kumar

    Osmania University, India

    8 publications · 217 citations

    8

    h-index

  4. FG
    Fosca Giannotti

    University of Pisa, Italy

    6 publications · 321 citations

    6

    h-index

  5. YC
    Yen‐Liang Chen

    National Central University, Taiwan

    6 publications · 320 citations

    6

    h-index

1–5 of 481

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 9 publications · 670 citations

    9

    h-index

  2. Knowledge and Information Systems

    4 publications · 249 citations

    4

    h-index

  3. Intelligent Data Analysis

    IDA · 3 publications · 38 citations

    3

    h-index

  4. Information Sciences

    3 publications · 44 citations

    3

    h-index

  5. Data & Knowledge Engineering

    DKE · 3 publications · 104 citations

    3

    h-index

1–5