Multi-window Drift Detection Method Based on Integrating Outlier Identification and Input/Output Space Information with Its Application

Author:

Xu Chaofan1,Tang Jian1,Sun Zijian1,Xia Heng1,Xu Zhe1,Xu Wen1

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,100124

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference23 articles.

1. The Kernel Recursive Least-Squares Algorithm

2. On-line principal component analysis with application to process modeling

3. Double Window Concept Drift Detection Method for Modeling of Difficult-to-measure Parameter in Industrial Processes;sun;Control Theory and Application,2021

4. Semi-Supervised Concept Drift Detection Method by Combining Sample Output Space and Feature Space with Its Application;sun;ACTA Automatica Sinica,2021

5. Review of Concept Drift Data Streams Mining Techniques;ding;Computer Science,2016

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