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	Short-term traffic volume prediction by ensemble learning in concept drifting environments.
	Xiao, Jianhua; Xiao, Zhu; Wang, Dong; Bai, Jing; Havyarimana, Vincent; Zeng, Fanzi
刊名	Knowledge-Based Systems
	2019
卷号	Vol.164页码:213-225
关键词	Concept drift Ensemble learning Incremental regression Traffic flow prediction
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/4613335
专题	湖南大学
作者单位	1.College of Computer Science and Electronics Engineering, Hunan University, Changsha 410082, China 2.State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China 3.Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, 710071, China 4.Department of Applied Sciences, Ecole Normale Suprieure, 6983, Bujumbura, Burundi
推荐引用方式 GB/T 7714	Xiao, Jianhua,Xiao, Zhu,Wang, Dong,et al. Short-term traffic volume prediction by ensemble learning in concept drifting environments.[J]. Knowledge-Based Systems,2019,Vol.164:213-225.
APA	Xiao, Jianhua,Xiao, Zhu,Wang, Dong,Bai, Jing,Havyarimana, Vincent,&Zeng, Fanzi.(2019).Short-term traffic volume prediction by ensemble learning in concept drifting environments..Knowledge-Based Systems,Vol.164,213-225.
MLA	Xiao, Jianhua,et al."Short-term traffic volume prediction by ensemble learning in concept drifting environments.".Knowledge-Based Systems Vol.164(2019):213-225.

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