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	Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning.
	Ren, Siqi; Zhu, Wen; Liao, Bo; Li, Zeng; Wang, Peng; Li, Keqin; Chen, Min; Li, Zejun
刊名	Knowledge-Based Systems
	2019
卷号	Vol.163页码:705-722
关键词	Class imbalance Concept drift Data stream classification Ensemble
ISSN号	0950-7051
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4613423
专题	湖南大学
作者单位	1.College of Information Science and Engineering, Hunan University, Changsha 410082, Hunan, China 2.School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou 310016, Zhejiang, China 3.School of Mathematics and Statistics, Hainan Normal University, Haikou, China 4.School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, Anhui, China 5.Department of Computer Science, State University of New York, New Paltz, NY 12561, USA 6.College of Computer and Information Science, Hunan Institute of Technology, Hengyang 421000, China
推荐引用方式 GB/T 7714	Ren, Siqi,Zhu, Wen,Liao, Bo,et al. Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning.[J]. Knowledge-Based Systems,2019,Vol.163:705-722.
APA	Ren, Siqi.,Zhu, Wen.,Liao, Bo.,Li, Zeng.,Wang, Peng.,...&Li, Zejun.(2019).Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning..Knowledge-Based Systems,Vol.163,705-722.
MLA	Ren, Siqi,et al."Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning.".Knowledge-Based Systems Vol.163(2019):705-722.

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