Shapelet-based Classification

Shapelet-Based Classification is a time series classification method that identifies and utilizes discriminative subsequences, known as shapelets, which distinguish classes by their presence, absence, or proximity within the series.

95

Publications

8.2K

Citations

251

Authors

116

Institutions

Publications per year

2017–2026

53

Authors

251

  1. SL
    Shijun Liu

    Shandong University, China

    6 publications · 216 citations

    6

    h-index

  2. CJ
    Cun Ji

    Shandong Normal University, China

    6 publications · 216 citations

    6

    h-index

  3. AB
    Anthony Bagnall

    University of East Anglia, United Kingdom

    5 publications · 1.4K citations

    5

    h-index

  4. EK
    Eamonn Keogh

    University of California, Riverside, United States

    4 publications · 2K citations

    4

    h-index

  5. JL
    Jason Lines

    University of East Anglia, United Kingdom

    4 publications · 1.4K citations

    4

    h-index

1–5 of 251

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 345 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 567 citations

    4

    h-index

  3. Data Mining and Knowledge Discovery

    3 publications · 1.1K citations

    3

    h-index

  4. Knowledge and Information Systems

    3 publications · 115 citations

    3

    h-index

  5. Computer Networks

    3 publications · 113 citations

    3

    h-index

1–5