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...

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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

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