A survey on concept drift adaptation

UCI Machine Learning Repository

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Disposition-Based Concept Drift Detection and Adaptation in Data Stream

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Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data

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DETECTION AND HANDLING OF DIFFERENT TYPES OF CONCEPT DRIFT IN NEWS RECOMMENDATION SYSTEMS

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Incremental and Adaptive Feature Exploration over Time Series Stream

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Fog-DeepStream: A new approach combining LSTM and Concept Drift for data stream analytics on Fog computing

Alencar, B. M., Canário, J. P., Neto, R. L., Prazeres, C. V. S., Bifet, A., & Rios, R. A. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100731 · Cited by 14

Autonomic active learning strategy using cluster-based ensemble classifier for concept drifts in imbalanced data stream

Halder, B., Hasan, K. M. A., Amagasa, T., & Ahmed, M. M. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120578 · Cited by 14

A Taxonomy of Methods for Handling Data Streams in Presence of Concepts Drifts

Mittal, V., & Srivastava, R. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-4451-4_41

Learning under Concept Drift: A Review

Lu, J., Liu, A., Dong, F., Gu, F., Gama, J., & Zhang, G. (2018) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2018.2876857 · Cited by 1,603

Adaptive online learning for classification under concept drift

Goel, K., & Batra, S. (2021) · International Journal of Computational Science and Engineering · doi:10.1504/ijcse.2021.115099 · Cited by 4

A systematic review on detection and adaptation of concept drift in streaming data using machine learning techniques

Arora, S., Rani, R., & Saxena, N. (2024) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1536 · Cited by 39

Algorithmes de machine learning adaptatifs pour flux de données sujets à des changements de concept

Loeffel, P.-X. (2017) · HAL · doi:10.70675/3b456eb5z117fz42a6z9436zb34bba3cfd1d