DocumentCode
3306679
Title
An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising
Author
Guo, Hongwei ; Liu, Yanchi ; Liang, Helan ; Gao, Xuedong
Author_Institution
Univ. of Sci. & Technol. Beijing, Beijing
Volume
5
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
419
Lastpage
422
Abstract
Generally, the result of clustering cannot reflect the similarities of time series properly because of the disturbance of noises and details in time series. In this paper, a new approach to this problem based on wavelet decomposition and denoising is proposed. The approach has been tested and analyzed by Synthetic Control Chart Time Series from University of California,Irvine (UCI) knowledge discovery in databases (KDD).
Keywords
data mining; time series; wavelet transforms; knowledge discovery in databases; time series clustering; wavelet decomposition; wavelet denoising; Computer applications; Control charts; Databases; Difference equations; Frequency; Low pass filters; Noise reduction; Testing; Time series analysis; Wavelet analysis; Cluster; Time series; Wavelet analysis; Wavelet denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.311
Filename
4667468
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