Stream Aggregation

Stream Aggregation is a stream processing method that computes cumulative results over continuous, unbounded data streams by applying aggregation functions within defined temporal or logical windows to enable real-time analytics.

108

Publications

6.4K

Citations

279

Authors

127

Institutions

Publications per year

2017–2026

28

Authors

279

  1. JG
    Johannes Gehrke

    Cornell University, United States

    6 publications · 732 citations

    6

    h-index

  2. MG
    Minos Garofalakis

    Technical University of Crete, Greece

    6 publications · 839 citations

    6

    h-index

  3. ST
    Srikanta Tirthapura

    Iowa State University, United States

    6 publications · 421 citations

    6

    h-index

  4. VM
    Volker Markl

    Technische Universität Berlin, Germany

    6 publications · 183 citations

    6

    h-index

  5. SM
    S. Muthukrishnan

    AT&T (United States), United States

    6 publications · 829 citations

    6

    h-index

1–5 of 279

Venues

  1. ACM Transactions on Database Systems

    TODS · 5 publications · 240 citations

    5

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 214 citations

    4

    h-index

  3. IEEE Access

    2 publications · 40 citations

    2

    h-index

  4. The VLDB Journal

    2 publications · 60 citations

    2

    h-index

  5. Movebank

    Repository · 2 publications · 28 citations

    2

    h-index

1–5