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	Web anomaly detection based on frequent closed episode rules
	Wang, Lei; Cao, Shoufeng; Wan, Lin; Wang, Fengyu
刊名	Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
	2017
页码	967-972
关键词	Frequent closed episode rules Spark Web anomaly detection Web logs
DOI	10.1109/Trustcom/BigDataSE/ICESS.2017.338
会议名称	16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017
URL标识	查看原文
会议日期	1 August 2017 through 4 August 2017
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/4589112
专题	山东大学
作者单位	1.School of Computer Science and Technology, Shandong University, Jinan, China 2.Informatization Office, Shandong U
推荐引用方式 GB/T 7714	Wang, Lei,Cao, Shoufeng,Wan, Lin,et al. Web anomaly detection based on frequent closed episode rules[J]. Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017,2017:967-972.
APA	Wang, Lei,Cao, Shoufeng,Wan, Lin,&Wang, Fengyu.(2017).Web anomaly detection based on frequent closed episode rules.Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017,967-972.
MLA	Wang, Lei,et al."Web anomaly detection based on frequent closed episode rules".Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017 (2017):967-972.

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