Temporal Query Processing

Temporal Query Processing is a computational framework within temporal data mining and temporal knowledge representation that enables the systematic retrieval and evaluation of time-dependent data and temporal relationships by incorporating explicit time semantics into query languages and processing mechanisms.

309

Publications

18.4K

Citations

683

Authors

275

Institutions

Publications per year

2017–2026

42

Authors

683

  1. RT
    Richard T. Snodgrass

    University of Arizona, United States

    22 publications · 2.4K citations

    19

    h-index

  2. CS
    Christian S. Jensen

    Aalborg University, Denmark

    17 publications · 1.4K citations

    15

    h-index

  3. MH
    Michael H. Böhlen

    Free University of Bozen-Bolzano, Italy

    10 publications · 570 citations

    10

    h-index

  4. SK
    Shashi K. Gadia

    Iowa State University, United States

    7 publications · 820 citations

    7

    h-index

  5. DP
    Dimitris Papadias

    Hong Kong University of Science and Technology, Hong Kong SAR China

    7 publications · 945 citations

    7

    h-index

1–5 of 683

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 17 publications · 1.6K citations

    15

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 13 publications · 328 citations

    11

    h-index

  3. ACM Transactions on Database Systems

    TODS · 10 publications · 1.6K citations

    10

    h-index

  4. ACM SIGMOD Record

    9 publications · 725 citations

    9

    h-index

  5. Very Large Data Bases

    Conference · 9 publications · 1.2K citations

    9

    h-index

1–5