Artificial Intelligence #concept drift#machine learning
How Learner-Based Concept Drift Detection Maintains Accuracy in Evolving Data Streams
A new study from arXiv reviews concept drift detection algorithms for machine learning in evolving streaming environments. The authors examine theoretical characteristics and evaluate detectors on synthetic and real-world datasets, focusing on abrupt and gradual drift types.
Jun 20, 2026 1 source