Query-based Aggregation

Query-Based Aggregation is a data aggregation method that selectively retrieves and summarizes data in response to specific queries, distinguishing itself from passive or continuous aggregation approaches by its reliance on on-demand, user-defined requests to determine the scope and structure of the aggregated output.

26

Publications

1.2K

Citations

84

Authors

53

Institutions

Publications per year

2017–2026

5

Authors

84

  1. WL
    Willis Lang

    University of Wisconsin–Madison, United States

    2 publications · 89 citations

    2

    h-index

  2. JM
    Jignesh M. Patel

    University of Wisconsin–Madison, United States

    2 publications · 89 citations

    2

    h-index

  3. WH
    Wei Hong

    University of California, Berkeley, United States

    2 publications · 209 citations

    2

    h-index

  4. MJ
    Michael J. Franklin

    University of California, Berkeley, United States

    2 publications · 209 citations

    2

    h-index

  5. AP
    Ashish Puri

    Indian Institute of Technology Bombay, India

    1 publications · 18 citations

    1

    h-index

1–5 of 84

Venues

  1. Information Sciences

    2 publications · 34 citations

    2

    h-index

  2. UA Campus Repository (The University of Arizona)

    Repository · 1 publications · 29 citations

    1

    h-index

  3. Knowledge-Based Systems

    1 publications · 59 citations

    1

    h-index

  4. ACM Transactions on Information Systems

    1 publications · 26 citations

    1

    h-index

  5. ACM Transactions on Knowledge Discovery from Data

    TKDD · 1 publications · 14 citations

    1

    h-index

1–5