Time Series Description

Time Series Description is a descriptive analytics technique that systematically characterizes the patterns, trends, and temporal structures inherent in sequential data points collected over time to facilitate interpretation and reporting at aggregate levels such as venues or courses.

132

Publications

9.2K

Citations

309

Authors

170

Institutions

Publications per year

2017–2026

24

Authors

309

  1. WP
    Witold Pedrycz

    University of Alberta, Canada

    8 publications · 427 citations

    8

    h-index

  2. EK
    Eamonn Keogh

    University of California, Riverside, United States

    5 publications · 2.5K citations

    5

    h-index

  3. XL
    Xiaodong Liu

    Dalian University of Technology, China

    4 publications · 188 citations

    4

    h-index

  4. DS
    Daniel Sánchez

    Universidad de Granada, Spain

    4 publications · 111 citations

    4

    h-index

  5. AG
    Adam Gacek

    Institute of Medical Technology and Equipment, Poland

    3 publications · 114 citations

    3

    h-index

1–5 of 309

Venues

  1. Data Mining and Knowledge Discovery

    5 publications · 2.5K citations

    5

    h-index

  2. Fuzzy Sets and Systems

    5 publications · 175 citations

    5

    h-index

  3. 3

    h-index

  4. Knowledge and Information Systems

    3 publications · 240 citations

    3

    h-index

  5. Applied Soft Computing

    2 publications · 30 citations

    2

    h-index

1–5