Stream-based Event Detection

Stream-Based Event Detection is a type of event detection methodology that operates on continuous, real-time data streams, distinguished by its capacity to identify events as they occur within high-velocity, potentially unbounded input sequences.

146

Publications

7.9K

Citations

472

Authors

205

Institutions

Publications per year

2017–2026

51

Authors

472

  1. AA
    Alexander Artikis

    National Centre of Scientific Research "Demokritos", Greece

    5 publications · 264 citations

    5

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    4 publications · 122 citations

    4

    h-index

  3. DS
    Divesh Srivastava

    AT&T (United States), United States

    3 publications · 68 citations

    3

    h-index

  4. PK
    Pradeep K. Atrey

    University of Winnipeg, Canada

    3 publications · 223 citations

    3

    h-index

  5. DS
    Davide Scaramuzza

    University of Zurich, Switzerland

    3 publications · 277 citations

    3

    h-index

1–5 of 472

Venues

  1. IEEE Internet of Things Journal

    4 publications · 175 citations

    4

    h-index

  2. The VLDB Journal

    3 publications · 438 citations

    3

    h-index

  3. Knowledge-Based Systems

    3 publications · 118 citations

    3

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Multimedia

    2 publications · 74 citations

    2

    h-index

1–5