Incremental Query Processing

Incremental Query Processing is a query processing paradigm that belongs to the class of data processing methods, distinguished by its ability to update query results continuously and efficiently as new data arrives, without reprocessing the entire dataset.

152

Publications

8.7K

Citations

381

Authors

150

Institutions

Publications per year

2017–2026

17

Authors

381

  1. WG
    Walid G. Aref

    Purdue University West Lafayette, United States

    5 publications · 964 citations

    5

    h-index

  2. WN
    Wolfgang Nejdl

    L3S Research Center, Germany

    5 publications · 190 citations

    5

    h-index

  3. CS
    Christian S. Jensen

    Aalborg University, Denmark

    5 publications · 494 citations

    5

    h-index

  4. XZ
    Xuan Zhou

    Renmin University of China, China

    5 publications · 190 citations

    5

    h-index

  5. SK
    Sanjay Krishnan

    University of California, Berkeley, United States

    5 publications · 104 citations

    5

    h-index

1–5 of 381

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 15 publications · 655 citations

    14

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 9 publications · 214 citations

    9

    h-index

  3. ACM SIGMOD Record

    7 publications · 695 citations

    7

    h-index

  4. ACM Transactions on Database Systems

    TODS · 5 publications · 596 citations

    5

    h-index

  5. Information Systems

    2 publications · 60 citations

    2

    h-index

1–5