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2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 908-911
Jiakui Zhao , China Electric Power Research Institute, China
Zhe Zhao , Department of Computer Science and Technology, Key Laboratory of High Confidence Software Technologies (Ministry of Education), Peking University, China
Wee Hyong Tok , Microsoft Corporation, USA
Bin Cui , Department of Computer Science and Technology, Key Laboratory of High Confidence Software Technologies (Ministry of Education), Peking University, China
ABSTRACT
A Time Series Clique (TSC) consists of multiple time series. In each TSC, the time series hold some natural relations with each other. In conventional time series retrieval methods, such natural relations are often ignored. In this paper, we formalize the problem of similarity search over TSC databases and develop a novel framework for similarity search on TSC data, which considers both time series patterns and relations. We conduct an extensive performance study, and the results show the effectiveness and efficiency of the proposed method.
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CITATION
Jiakui Zhao, Zhe Zhao, Wee Hyong Tok, Bin Cui, "Efficient similarity matching of Time Series Cliques with natural relations", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 908-911, 2010, doi:10.1109/ICDE.2010.5447907
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