QQ客服 官方微博 反馈留言

	Traffic accident data mining based on association rules theory
	Li, Meiying; Li, Meiye; Hu, Xiaoxia; Li, Yu
刊名	Frontiers in Artificial Intelligence and Applications
	2019
卷号	314页码:330-340
关键词	Association rules Data mining SQL Server Traffic accidents
DOI	10.3233/978-1-61499-939-3-330
会议名称	3rd International Conference on Information Technology and Intelligent Transportation Systems, ITITS 2018
URL标识	查看原文
会议日期	15 September 2018 through 16 September 2018
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/4546372
专题	山东大学
作者单位	School of Control Science and Engineering, Shandong University, Jinan, 250061, China, School of Control Science and Engin., Shandong Universit
推荐引用方式 GB/T 7714	Li, Meiying,Li, Meiye,Hu, Xiaoxia,et al. Traffic accident data mining based on association rules theory[J]. Frontiers in Artificial Intelligence and Applications,2019,314:330-340.
APA	Li, Meiying,Li, Meiye,Hu, Xiaoxia,&Li, Yu.(2019).Traffic accident data mining based on association rules theory.Frontiers in Artificial Intelligence and Applications,314,330-340.
MLA	Li, Meiying,et al."Traffic accident data mining based on association rules theory".Frontiers in Artificial Intelligence and Applications 314(2019):330-340.

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。