Concept drift detection methods based on different weighting strategies
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Ningxia Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02186-4.pdf
Reference25 articles.
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3. Abbasi A, Javed AR, Chakraborty C et al (2021) ElStream: an ensemble learning approach for concept drift detection in dynamic social big data stream learning. Piscat IEEE Access 9:66408–66419
4. Hang Yu, Liu Weixu Lu, Jie, et al (2023) Detecting group concept drift from multiple data streams. Pattern Recogn 134:109113
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