南方科技大学知识苑(SUSTech KC): Learning from data streams and class imbalance

题名	Learning from data streams and class imbalance
作者	Wang, Shuo 1; Minku, Leandro L.2; Chawla, Nitesh 3; Yao, Xin4
通讯作者	Wang, Shuo
发表日期	2019-04-03
DOI	10.1080/09540091.2019.1572975
发表期刊	CONNECTION SCIENCE 影响因子和分区
ISSN	0954-0091
EISSN	1360-0494
卷号	31 期号:2页码:103-104
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	其他
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000464728100001
出版者	TAYLOR & FRANCIS LTD
EI入藏号	20191706812545
来源库	Web of Science
引用统计	被引频次[WOS]：14
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/26099
专题	工学院_计算机科学与工程系
作者单位	1.Birmingham City Univ, Sch Comp & Digital Technol, Birmingham, W Midlands, England 2.Univ Birmingham, Sch Comp Sci, Birmingham, W Midlands, England 3.Univ Notre Dame, Comp Sci & Engn, ICeNSA, Notre Dame, IN 46556 USA 4.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Wang, Shuo,Minku, Leandro L.,Chawla, Nitesh,et al. Learning from data streams and class imbalance[J]. CONNECTION SCIENCE,2019,31(2):103-104.
APA	Wang, Shuo,Minku, Leandro L.,Chawla, Nitesh,&Yao, Xin.(2019).Learning from data streams and class imbalance.CONNECTION SCIENCE,31(2),103-104.
MLA	Wang, Shuo,et al."Learning from data streams and class imbalance".CONNECTION SCIENCE 31.2(2019):103-104.