Temporal Query Optimization

Temporal Query Optimization is a query optimization technique that specifically enhances the efficiency of querying temporal databases by exploiting temporal semantics and indexing structures to minimize retrieval time and computational overhead.

54

Publications

1.8K

Citations

130

Authors

68

Institutions

Publications per year

2017–2026

10

Authors

130

  1. RT
    Richard T. Snodgrass

    University of Arizona, United States

    7 publications · 371 citations

    7

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    5 publications · 317 citations

    5

    h-index

  3. CZ
    Carlo Zaniolo

    University of California, Los Angeles, United States

    3 publications · 78 citations

    3

    h-index

  4. GS
    Giedrius Slivinskas

    Aalborg University, Denmark

    3 publications · 48 citations

    3

    h-index

  5. VJ
    Vassilis J. Tsotras

    University of California, Riverside, United States

    3 publications · 136 citations

    3

    h-index

1–5 of 130

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 142 citations

    6

    h-index

  2. ACM SIGMOD Record

    2 publications · 233 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 71 citations

    2

    h-index

  4. Information Systems

    2 publications · 83 citations

    2

    h-index

  5. 1

    h-index

1–5