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Efficient processing of multiple nested event pattern queries over multi-dimensional event streams based on a triaxial hierarchical model.

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第一作者： Fuyuan,Xiao

第一单位： School of Computer and Information Science, Southwest University, No. 2 Tiansheng Road, BeiBei District, Chongqing 400715, PR China. Electronic address: xiaofuyuan@swu.edu.cn.

作者： Fuyuan,Xiao ^[1] ; Masayoshi,Aritsugi ^[2] ; Qing,Wang ^[3] ; Rong,Zhang ^[4]

作者单位： School of Computer and Information Science, Southwest University, No. 2 Tiansheng Road, BeiBei District, Chongqing 400715, PR China. Electronic address: xiaofuyuan@swu.edu.cn. ^[1] Big Data Science and Technology, Division of Environmental Science, Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555, Japan. Electronic address: aritsugi@cs.kumamoto-u.ac.jp. ^[2] School of Computer and Information Science, Southwest University, No. 2 Tiansheng Road, BeiBei District, Chongqing 400715, PR China. Electronic address: wangqingswu@163.com. ^[3] School of Computer and Information Science, Southwest University, No. 2 Tiansheng Road, BeiBei District, Chongqing 400715, PR China. Electronic address: zhangrongswu@163.com. ^[4]

关键词 Complex event processing Decision-making Health information systems Multi-dimensional event stream Nested pattern query Optimisation

医学主题词算法(Algorithms);数据收集(Data Collection);数据挖掘(Data Mining);决策支持技术(Decision Support Techniques);人类(Humans);模型, 统计学(Models, Statistical);模式识别, 自动(Pattern Recognition, Automated)

DOI 10.1016/j.artmed.2016.08.002

PMID 27664508

发布时间 2018-12-02

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