计算机工程与应用2024，Vol.60Issue(4)：75-88,14.DOI:10.3778/j.issn.1002-8331.2306-0406
概念漂移检测与适应方法综述
Survey of Concept Drift Detection and Adaptation Methods
摘要
Abstract
With the rapid growth of data information,the characteristics of data stream are diversified,which put forward new requirements for the study of concept drift processing methods.The previous detection ideas based on performance degradation cannot cope with the non-instant availability environment of labels,which promotes the research of un-labeled detection methods.The research of ensemble and incremental learning promotes the progress of drift adaptation method.Firstly,the drift detection methods are analyzed in detail in two cases,namely whether the label is available and immedi-ate or not,and based on the model composition,the drift adaptation methods are analyzed and explained with emphasis on the ensemble method.Secondly,the drift processing methods of different ideas are comprehensively summarized from the core ideas,comparison models,advantages and limitations,and the drift processing methods of different ideas are com-pared as a whole.Finally,the future research directions in this field are given,including noise discrimination,threshold setting and criterion diversification.关键词
漂移检测/漂移适应/标签可用性/模型组成Key words
drift detection/drift adaptation/label availability/model composition分类
信息技术与安全科学引用本文复制引用
孟凡兴,韩萌,李春鹏,张瑞华,何菲菲..概念漂移检测与适应方法综述[J].计算机工程与应用,2024,60(4):75-88,14.基金项目
国家自然科学基金(62062004) （62062004）
宁夏自然科学基金(2022AAC03279) （2022AAC03279）
北方民族大学研究生创新项目(YCX23157). （YCX23157）
