Concept Drift Data Stream Classification Algorithm Based on McDiarmid Bound

Concept Drift Data Stream Classification Algorithm Based on McDiarmid Bound

Concept drift in data streams can cause significant performance degradation of existing classification models. Most current data stream algorithms for concept drift only aim at a certain type of concept drift (such as abrupt, gradual, or recurring drift), which is difficult to adapt to different sce...

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Bibliographic Details
Main Author: LIANG Bin, LI Guanghui
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-10-01
Series:Jisuanji kexue yu tansuo
Subjects:
concept drift
membership degree
double fuzzy window
mcdiarmid bound
recurring concept
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2922.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2922.shtml

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