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Maintaining stream statistics over multiscale sliding windows
Jiao, Yishan
2006-12-01
发表期刊ACM TRANSACTIONS ON DATABASE SYSTEMS
ISSN0362-5915
卷号31期号:4页码:1305-1334
摘要In this article, we propose a new multiscale sliding window model which differentiates data items in different time periods of the data stream, based on a reasonable monotonicity of resolution assumption. Our model, as a well-motivated extension of the sliding window model, stands halfway between the traditional all-history and time-decaying models. We also present algorithms for estimating two significant data stream statistics - F-0 and Jacard's similarity coefficient - with reasonable accuracies under the new model. Our algorithms use space logarithmic in the data stream size and linear in the number of windows; they support update time logarithmic in the number of windows and independent of the accuracy required. Our algorithms are easy to implement. Experimental results demonstrate the efficiencies of our algorithms. Our techniques apply to scenarios in which universe sampling is used.
关键词algorithms performance data stream F-0 Jacard's similarity coefficient multiscale sliding window model
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号WOS:000243396000004
出版者ASSOC COMPUTING MACHINERY
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/10634
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Jiao, Yishan
作者单位Chinese Acad Sci, Inst Comp Technol, Div Intelligent Software Syst, Computat Biol Res Grp, Beijing, Peoples R China
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Jiao, Yishan. Maintaining stream statistics over multiscale sliding windows[J]. ACM TRANSACTIONS ON DATABASE SYSTEMS,2006,31(4):1305-1334.
APA Jiao, Yishan.(2006).Maintaining stream statistics over multiscale sliding windows.ACM TRANSACTIONS ON DATABASE SYSTEMS,31(4),1305-1334.
MLA Jiao, Yishan."Maintaining stream statistics over multiscale sliding windows".ACM TRANSACTIONS ON DATABASE SYSTEMS 31.4(2006):1305-1334.
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