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	A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting
	Lishan Liu; Ning Jia; Lei Lin; Zhengbing He
刊名	IEEE Access
	2019
卷号	Vol.7页码:3383-3389
关键词	Forecasting Feature extraction Mathematical model Indexes Predictive models Biological cells Traffic flow short-term forecasting optimal feature selection input vector
ISSN号	2169-3536
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/4602698
专题	湖南大学
作者单位	1.College of Management and Economics, Tianjin University, Tianjin, China 2.Goergen Institute for Data Science, University of Rochester, Rochester, NY, USA 3.Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
推荐引用方式 GB/T 7714	Lishan Liu,Ning Jia,Lei Lin,et al. A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting[J]. IEEE Access,2019,Vol.7:3383-3389.
APA	Lishan Liu,Ning Jia,Lei Lin,&Zhengbing He.(2019).A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting.IEEE Access,Vol.7,3383-3389.
MLA	Lishan Liu,et al."A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting".IEEE Access Vol.7(2019):3383-3389.

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