Streaming Learning

Streaming Learning is a machine learning paradigm that processes data as a continuous, ordered sequence of instances or mini-batches in a single pass, typically under constraints of limited memory and real-time processing, thereby enabling scalable and adaptive model updates without requiring full retraining on historical data.

391

Publications

22K

Citations

1K

Authors

455

Institutions

Publications per year

2017–2026

204

Authors

1K

  1. AB
    Albert Bifet

    University of Waikato, New Zealand

    25 publications · 1.9K citations

    19

    h-index

  2. JG
    João Gama

    Universidade do Porto, Portugal

    19 publications · 2.2K citations

    17

    h-index

  3. XW
    Xindong Wu

    Hefei University of Technology, China

    13 publications · 880 citations

    13

    h-index

  4. JR
    Jesse Read

    University of Waikato, New Zealand

    12 publications · 1.2K citations

    12

    h-index

  5. HM
    Heitor Murilo Gomes

    University of Waikato, New Zealand

    11 publications · 762 citations

    11

    h-index

1–5 of 1K

Venues

  1. 14

    h-index

  2. Information Sciences

    15 publications · 584 citations

    13

    h-index

  3. arXiv (Cornell University)

    Repository · 17 publications · 755 citations

    12

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 11 publications · 627 citations

    11

    h-index

  5. Machine Learning

    9 publications · 1.2K citations

    9

    h-index

1–5