Streaming Analytics

Streaming Analytics is a computational paradigm within edge analytics that enables real-time processing and analysis of continuous, high-velocity data streams at or near the data source, distinguished by its capacity to perform low-latency, in-motion analytics as opposed to batch or stored-data analysis.

206

Publications

9.4K

Citations

709

Authors

299

Institutions

Publications per year

2017–2026

109

Variants

Stream Analytics

Authors

709

  1. DA
    David A. Bader

    Georgia Institute of Technology, United States

    5 publications · 376 citations

    5

    h-index

  2. AC
    Abhishek Chandra

    University of Minnesota, United States

    4 publications · 167 citations

    4

    h-index

  3. AB
    Albert Bifet

    University of Waikato, New Zealand

    4 publications · 266 citations

    4

    h-index

  4. JR
    Jason Riedy

    Georgia Institute of Technology, United States

    4 publications · 361 citations

    4

    h-index

  5. DE
    David Ediger

    Georgia Institute of Technology, United States

    4 publications · 361 citations

    4

    h-index

1–5 of 709

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 11 publications · 741 citations

    11

    h-index

  2. IEEE Access

    6 publications · 397 citations

    6

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 65 citations

    3

    h-index

  4. IEEE Transactions on Cloud Computing

    3 publications · 110 citations

    3

    h-index

  5. Journal Of Big Data

    2 publications · 134 citations

    2

    h-index

1–5