QQ客服 官方微博 反馈留言

	Toward Real-Time High-Frequency Stock Monitoring System Using Node.js
	Qu, Hao; Ma, Kun; Yang, Zhe; Niu, Xuewei; Abraham, Ajith
刊名	PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016)
	2018
卷号	614页码:1-10
关键词	WebSocket High frequency Stock monitoring Node.js Socket.io
DOI	10.1007/978-3-319-60618-7_1
会议名称	8th International Conference on Soft Computing and Pattern Recognition (SoCPaR) / 8th International Conference on Computational Aspects of Social Networks (CASoN)
URL标识	查看原文
会议日期	DEC 19-21, 2016
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/4581149
专题	山东大学
作者单位	1.Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Shandong, Peoples R China. 2.Univ Jinan, Shan
推荐引用方式 GB/T 7714	Qu, Hao,Ma, Kun,Yang, Zhe,et al. Toward Real-Time High-Frequency Stock Monitoring System Using Node.js[J]. PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016),2018,614:1-10.
APA	Qu, Hao,Ma, Kun,Yang, Zhe,Niu, Xuewei,&Abraham, Ajith.(2018).Toward Real-Time High-Frequency Stock Monitoring System Using Node.js.PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016),614,1-10.
MLA	Qu, Hao,et al."Toward Real-Time High-Frequency Stock Monitoring System Using Node.js".PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016) 614(2018):1-10.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。