DocumentCode :
1710811
Title :
Similarity Matching Algorithm of Multiple Granularities Time-Series Data
Author :
Hao, Wenning ; Zhao, Enlai ; Zhang, Hongjun ; Chen, Gang ; Zhao, Shuining
Author_Institution :
Eng. Inst. of Eng. Corps, PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2010
Firstpage :
861
Lastpage :
865
Abstract :
Focused on the present status that the algorithm of measuring time-series distance is many but the appropriate algorithm of measuring multiple granularities time-series is few, the paper advanced a similarity matching algorithm of multiple granularities time-series based on the ideal of time calibrator and hypothesis test. It firstly expounded the definition of multiple granularities time-series, furthermore proposed a sample of distance; secondly it put forward the similarity matching algorithm of multiple granularities time-series; finally, the experimental result proved that the algorithm can effectively reflect the time-series of multiple granularities.
Keywords :
algorithm theory; time series; hypothesis test; multiple granularity time-series data; similarity matching algorithm; time calibrator; time-series distance; Algorithm design and analysis; Calibration; Data mining; Databases; Interpolation; Security; Time measurement; distance measure; similarity matching; time granularity; time-series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-8626-7
Electronic_ISBN :
978-0-7695-4258-4
Type :
conf
DOI :
10.1109/MINES.2010.182
Filename :
5671300
Link To Document :
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