Streaming Machine Learning

Streaming Machine Learning is a machine learning paradigm that processes continuous, unbounded data streams in real time, distinguishing itself from batch learning by requiring incremental model updates under constraints of limited storage, single-pass data access, and concept drift adaptation.

766

Publications

44.9K

Citations

1.9K

Authors

735

Institutions

Publications per year

2017–2026

432

Authors

1.9K

  1. AB
    Albert Bifet

    University of Waikato, New Zealand

    44 publications · 6K citations

    27

    h-index

  2. XW
    Xindong Wu

    Hefei University of Technology, China

    23 publications · 1.5K citations

    21

    h-index

  3. JG
    João Gama

    Universidade do Porto, Portugal

    28 publications · 2.1K citations

    20

    h-index

  4. BP
    Bernhard Pfahringer

    University of Waikato, New Zealand

    22 publications · 2.1K citations

    18

    h-index

  5. HM
    Heitor Murilo Gomes

    University of Waikato, New Zealand

    16 publications · 1.6K citations

    15

    h-index

1–5 of 1.9K

Venues

  1. 22

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 22 publications · 2K citations

    20

    h-index

  3. Information Sciences

    22 publications · 1.1K citations

    19

    h-index

  4. Neurocomputing

    18 publications · 875 citations

    17

    h-index

  5. arXiv (Cornell University)

    Repository · 30 publications · 993 citations

    15

    h-index

1–5