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
Parents
391
A streaming ensemble algorithm (SEA) for large-scale classification
W. Nick Street, YongSeog Kim · 2001 · 1.2K citations
Learning under Concept Drift: A Review
IEEE Transactions on Knowledge and Data Engineering · 2018 · 873 citations · Full text
Ali H. Sayed · Proceedings of the IEEE · 2014 · 539 citations · Full text
On evaluating stream learning algorithms
João Gama, Raquel Sebastião, Pedro Pereira Rodrigues · Machine Learning · 2012 · 516 citations · Full text
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455

Universidade do Porto
Porto, Portugal
16 h-index
30 publications
4.2K citations

University of Waikato
Hamilton, New Zealand
15 h-index
38 publications
2.1K citations
University of Technology Sydney
Sydney, Australia
13 h-index
30 publications
1.3K citations

Télécom Paris
Palaiseau, France
12 h-index
20 publications
1.5K citations
Universidade de São Paulo
São Paulo, Brazil
11 h-index
27 publications
1.4K citations
Nanyang Technological University
Singapore, Singapore
11 h-index
22 publications
656 citations
Nanjing University
Nanjing, China
10 h-index
28 publications
764 citations

Hefei University of Technology
Hefei, China
9 h-index
17 publications
1.8K citations
1–8 of 455
16 publications · 823 citations
14
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15 publications · 584 citations
13
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Repository · 17 publications · 755 citations
12
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TKDE · 11 publications · 627 citations
11
h-index
9 publications · 1.2K citations
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