Time Series Database Models

Time Series Database Models is a specialized data modeling framework within temporal databases designed to systematically organize, store, and manage time-stamped data sequences by optimizing for temporal alignment, efficient time-based querying, and sequential data patterns.

32

Publications

1.3K

Citations

134

Authors

49

Institutions

Publications per year

2017–2026

11

Authors

134

  1. UF
    Ulrike Fischer

    Technische Universität Dresden, Germany

    2 publications · 44 citations

    2

    h-index

  2. DS
    Dennis Shasha

    New York University, United States

    2 publications · 69 citations

    2

    h-index

  3. WL
    Wolfgang Lehner

    Technische Universität Dresden, Germany

    2 publications · 44 citations

    2

    h-index

  4. GK
    Gerti Kappel

    TU Wien, Austria

    1 publications · 12 citations

    1

    h-index

  5. ZG
    Zoltan Geler

    University of Novi Sad, Serbia

    1 publications · 51 citations

    1

    h-index

1–5 of 134

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 37 citations

    2

    h-index

  2. Expert Systems with Applications

    2 publications · 34 citations

    2

    h-index

  3. 1

    h-index

  4. Procedia Computer Science

    1 publications · 18 citations

    1

    h-index

  5. Neurocomputing

    1 publications · 22 citations

    1

    h-index

1–5