Time Series Annotation

Time Series Annotation is a scholarly methodological contribution that involves the systematic labeling or tagging of temporal data points within a time series to identify specific patterns, events, or semantics, distinguishing it from general data preprocessing by its focus on informative, context-rich temporal markers.

23

Publications

983

Citations

80

Authors

39

Institutions

Publications per year

2017–2026

9

Authors

80

  1. GD
    George D. Wilson

    Mount Vernon Hospital, United Kingdom

    1 publications · 358 citations

    1

    h-index

  2. SF
    Sean Ferrell

    1 publications · 14 citations

    1

    h-index

  3. SE
    Scott E. Crouter

    University of Tennessee at Knoxville, United States

    1 publications · 16 citations

    1

    h-index

  4. DP
    Daniel Puschmann

    University of Surrey, United Kingdom

    1 publications · 39 citations

    1

    h-index

  5. BW
    Byron Wallace

    Northeastern University, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 80

Venues

  1. Fuzzy Sets and Systems

    2 publications · 104 citations

    2

    h-index

  2. Plant and Soil

    1 publications · 40 citations

    1

    h-index

  3. IEEE Internet of Things Journal

    1 publications · 39 citations

    1

    h-index

  4. 1

    h-index

  5. Data Mining and Knowledge Discovery

    1 publications · 16 citations

    1

    h-index

1–5