Streaming Aggregation

Streaming Aggregation is a data aggregation method that continuously computes and updates aggregate results over unbounded data streams in real time, distinguishing itself from batch-oriented approaches by processing elements incrementally as they arrive.

47

Publications

2.5K

Citations

130

Authors

73

Institutions

Publications per year

2017–2026

13

Authors

130

  1. DS
    Divesh Srivastava

    AT&T (United States), United States

    5 publications · 469 citations

    5

    h-index

  2. JG
    Johannes Gehrke

    Cornell University, United States

    4 publications · 676 citations

    4

    h-index

  3. ST
    Srikanta Tirthapura

    Iowa State University, United States

    4 publications · 99 citations

    4

    h-index

  4. SS
    Scott Schneider

    IBM (United States), United States

    4 publications · 210 citations

    4

    h-index

  5. KT
    Kanat Tangwongsan

    Carnegie Mellon University, United States

    4 publications · 200 citations

    4

    h-index

1–5 of 130

Venues

  1. The VLDB Journal

    2 publications · 60 citations

    2

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 137 citations

    2

    h-index

  3. Proceedings - International Conference on Data Engineering

    ICDE · 2 publications · 114 citations

    2

    h-index

  4. Movebank

    Repository · 1 publications · 16 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 14 citations

    1

    h-index

1–5