Concept drift detection via competence models

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IIRC: Incremental Implicitly-Refined Classification (2020, background): “Our work is also related to knowledge (or concept) drift, where the statistical properties of the data changes over time and old knowledge can become “irrelevant” [28, 27].”
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors (2022, background): “[31] have introduced concept drift detectors in a case-based reasoning system by tracking changes in competence measurement.”
Learning under Concept Drift: A Review (2019, methodology): “A competence model-based drift detection algorithm [3] was used to locate drift instances in the case base and distinguish them from noise instances and a redundancy removal algorithm, Stepwise Redundancy Removal (SRR), was developed to remove redundant instances in a uniform way, guaranteeing that ”