Hybrid Partitioning

Hybrid Partitioning is a data partitioning strategy that combines two or more distinct partitioning methods—such as horizontal, vertical, or functional partitioning—within a single system or dataset to leverage the complementary advantages of each approach while mitigating their individual limitations.

18

Publications

664

Citations

52

Authors

22

Institutions

Publications per year

2017–2026

5

Authors

52

  1. DM
    David M. LeMaster

    New York State Department of Health, United States

    2 publications · 26 citations

    2

    h-index

  2. GH
    Griselda Hernández

    New York State Department of Health, United States

    2 publications · 26 citations

    2

    h-index

  3. DJ
    David J. DeWitt

    University of Wisconsin–Madison, United States

    1 publications · 118 citations

    1

    h-index

  4. LW
    Lina Wang

    Wuhan University, China

    1 publications · 18 citations

    1

    h-index

  5. SO
    S.N. Omkar

    Indian Institute of Science Bangalore, India

    1 publications · 96 citations

    1

    h-index

1–5 of 52

Venues

  1. PLoS ONE

    1 publications · 35 citations

    1

    h-index

  2. International Journal of Intelligent Systems

    1 publications · 18 citations

    1

    h-index

  3. IEEE Transactions on Cloud Computing

    1 publications · 32 citations

    1

    h-index

  4. 1

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 14 citations

    1

    h-index

1–5