Adaptive Incremental-Learning Ensemble Classification Approach for Concept Drift Problem

Adaptive Incremental-Learning Ensemble Classification Approach for Concept Drift Problem

The performance of the machine learning model always decreases with the occurrence of concept drift due to the non-stationary characteristics of the data flow. This paper studies how the classifier adapts to concept drift, and proposes an incremental learning ensemble algorithm with small data block...

Full description

Bibliographic Details
Main Author: HAN Mingming, SUN Guanglu, ZHU Suxia
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-07-01
Series:Jisuanji kexue yu tansuo
Subjects:
data stream classification problem
concept drift
ensemble algorithm
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2269.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2269.shtml

Similar Items