We propose using a wavelet transformation of a time series to produce a natural set of features for the sequence. Wavelet transformation yields features which ...
This work proposes using a wavelet transformation of a time series to produce a natural set of features which describe properties of the sequence, ...
Mining for similarities in aligned time series using wavelets. In Data Mining and Knowledge Discovery: Theory, Tools, and Technology (pp. 150-160). (SPIE ...
Oct 22, 2024 · This paper presents a comparison between different wavelet feature vectors for data mining of nonstationary time series that occurs in an ...
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It provides a systematic survey of various analysis techniques that use discrete wavelet transformation (DWT) in time series data mining.
This paper proposes a new similarity measurement method for time series based on the image fusion of different forms.
Time series mining has become essential for extracting knowledge from the abundant data that flows out from many application domains.
Article "Mining for similarities in aligned time series using wavelets." Detailed information of the J-GLOBAL is an information service managed by the Japan ...
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In this paper, we introduce Wavelet-TSS (W-TSS) a novel intelligent method for identifying candidate shapelets in TSS using wavelet transformation discovery.
Mining for similarities in aligned time series using wavelets · Ykä Huhtala ... This work proposes using a wavelet transformation of a time series to ...