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
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;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.311
