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	A hybrid method for detecting data stream changes with complex semantics in intensive care unit
	Yin, T ; Li, HY ; Hu, ZJ ; Fan, Y ; Gao, JL ; Tang, SW
	2005
英文摘要	Detecting changes in data streams is very important for many applications. This paper presents a hybrid method for detecting data stream changes in intensive care unit. In the method, we first use query processing to detect all the potential changes supporting semantics in big granularity, and then perform similarity matching, which has some features such as normalized subsequences and weighted distance. Our approach makes change detection with a better trade-off between sensitivity and specificity. Experiments on ICU data streams demonstrate its effectiveness.; Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; SCI(E); CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292253]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yin, T,Li, HY,Hu, ZJ,et al. A hybrid method for detecting data stream changes with complex semantics in intensive care unit. 2005-01-01.

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