From concept drift to model degradation: An overview on performance-aware drift detectors

作者：

Highlights：

• A new taxonomical classification of concept drift types.

• Providing a classification hierarchy of performance-based detection methods.

• Identifying research gaps and trends in performance-based detection methods.

• Suggesting future research directions in concept drift detection based on the findings.

摘要

•A new taxonomical classification of concept drift types.•Providing a classification hierarchy of performance-based detection methods.•Identifying research gaps and trends in performance-based detection methods.•Suggesting future research directions in concept drift detection based on the findings.

论文关键词：Concept drift,Model degradation,Data stream,Machine learning

论文评审过程：Received 11 November 2021, Revised 8 February 2022, Accepted 19 March 2022, Available online 29 March 2022, Version of Record 8 April 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108632