Partition Pruning

Partition Pruning is a query optimization technique in database systems that belongs to the class of data access methods, specifically distinguished by its ability to selectively eliminate irrelevant data partitions from query processing based on partitioning key predicates, thereby reducing I/O and computational overhead.

14

Publications

705

Citations

43

Authors

25

Institutions

Publications per year

2017–2026

3

Authors

43

  1. CC
    Chih-Yu Chan

    Asia University, Taiwan

    1 publications · 20 citations

    1

    h-index

  2. AM
    Amir Mosavi

    Obuda University, Hungary

    1 publications · 116 citations

    1

    h-index

  3. DK
    Donald Kossmann

    ETH Zurich, Switzerland

    1 publications · 25 citations

    1

    h-index

  4. IB
    Ilaria Bartolini

    University of Bologna, Italy

    1 publications · 29 citations

    1

    h-index

  5. MA
    Miguel A. Veganzones

    GIPSA-Lab, France

    1 publications · 92 citations

    1

    h-index

1–5 of 43

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 41 citations

    2

    h-index

  2. IEEE Transactions on Image Processing

    1 publications · 92 citations

    1

    h-index

  3. Mathematics

    1 publications · 116 citations

    1

    h-index

  4. The VLDB Journal

    1 publications · 25 citations

    1

    h-index

  5. Computers & Operations Research

    1 publications · 231 citations

    1

    h-index

1–5