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	Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage
	Dong, Shao-Hua; Zhang, He-Wei; Zhang, Lai-Bin; Zhou, Li-Jian; Guo, Lei
刊名	PETROLEUM SCIENCE
	2017
卷号	14页码:395-403
关键词	Pipeline Big location data Third-party damage Model Prevention
ISSN号	1672-5107
DOI	10.1007/s12182-017-0160-7
URL标识	查看原文
收录类别	SCIE
WOS记录号	WOS:000401929700011
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6265281
专题	中国石油大学（北京）
推荐引用方式 GB/T 7714	Dong, Shao-Hua,Zhang, He-Wei,Zhang, Lai-Bin,et al. Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage[J]. PETROLEUM SCIENCE,2017,14:395-403.
APA	Dong, Shao-Hua,Zhang, He-Wei,Zhang, Lai-Bin,Zhou, Li-Jian,&Guo, Lei.(2017).Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage.PETROLEUM SCIENCE,14,395-403.
MLA	Dong, Shao-Hua,et al."Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage".PETROLEUM SCIENCE 14(2017):395-403.

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