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	An Ensemble Classification Algorithm Based on Information Entropy for Data Streams
	Wang, J.; Xu, S.; Duan, B.; Liu, C.; Liang, J.
刊名	Neural Processing Letters
	2019
关键词	Data mining, Classification accuracy Classification results Concept drifts Data stream Ensemble classification Experimental analysis Information entropy Measuring uncertainty, Classification (of information)
ISSN号	13704621
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3219982
专题	大连理工大学
作者单位	1.Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China 2.Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China
推荐引用方式 GB/T 7714	Wang, J.,Xu, S.,Duan, B.,et al. An Ensemble Classification Algorithm Based on Information Entropy for Data Streams[J]. Neural Processing Letters,2019.
APA	Wang, J.,Xu, S.,Duan, B.,Liu, C.,&Liang, J..(2019).An Ensemble Classification Algorithm Based on Information Entropy for Data Streams.Neural Processing Letters.
MLA	Wang, J.,et al."An Ensemble Classification Algorithm Based on Information Entropy for Data Streams".Neural Processing Letters (2019).

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