Analyzing and repairing concept drift adaptation in data stream classification

DOI10.1007/S10994-021-05993-WOpenAlexW3164541240WikidataQ125185064 ScholiaQ125185064MaRDI QIDQ2102402

Mykola Pechenizkiy, Yun Sing Koh, Russel Pears, Gustavo Olivares, Guy Coulson, Ben Halstead, Albert Bifet, Patricia J. Riddle

Publication date: 28 November 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-021-05993-w

zbMATH Keywords

concept driftdata stream classificationrecurring concepts

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• MOA

Cites Work

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• Evaluation methods and decision theory for classification of streaming data with temporal dependence
• From dynamic classifier selection to dynamic ensemble selection
• A theory of the learnable
• A survey on concept drift adaptation
• Advances in Artificial Intelligence – SBIA 2004

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