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Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization

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In the paper, we present two methods, SUCR-DTW and ESUCR-DTW, which conduct similarity search for numerous prespecified patterns over multiple time-series streams under DTW supporting data normalization. These two methods utilize a combination of techniques to mitigate the aforementioned costs. | Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization

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Báo cáo khoa học: "Semi-Supervised SimHash for Efficient Document Similarity Search"

Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization

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