Partitioned Aggregation

Partitioned Aggregation is a data aggregation method that operates by dividing the input dataset into disjoint subsets according to a specified partitioning criterion, then independently computing aggregate functions within each subset before combining the results.

4

Publications

64

Citations

12

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

12

  1. YW
    Yuxiang Wang

    Southeast University, China

    1 publications · 15 citations

    1

    h-index

  2. RL
    Robin Lamarche-Perrin

    Université Grenoble Alpes, France

    1 publications · 17 citations

    1

    h-index

  3. JC
    Jorge C. Chamby-Diaz

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 21 citations

    1

    h-index

  4. BA
    Brian Alegant

    1 publications · 11 citations

    1

    h-index

  5. JV
    Jean-Marc Vincent

    Université Grenoble Alpes, France

    1 publications · 17 citations

    1

    h-index

1–5 of 12

Venues

  1. Journal of Computer Science and Technology

    1 publications · 15 citations

    1

    h-index

  2. Medical Entomology and Zoology

    1 publications · 11 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 21 citations

    1

    h-index

  4. 1

    h-index

1–4