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- W1878264211 abstract "In this paper, we propose a method for online subsequence matching between histogram-based stream synopsis structures under the dynamic warping distance Given a query synopsis pattern, the work continuously identifies all the matching subsequences for a stream as the histograms are generated To effectively reduce the computation time, we design a Weighted Dynamic Time Warping (WDTW) algorithm which computes the warping distance directly between two histogram-based synopses Our experiments on real datasets show that the proposed method significantly speeds up the pattern matching by sacrificing a little accuracy." @default.
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- W1878264211 date "2010-01-01" @default.
- W1878264211 modified "2023-09-25" @default.
- W1878264211 title "Subsequence Matching of Stream Synopses under the Time Warping Distance" @default.
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- W1878264211 doi "https://doi.org/10.1007/978-3-642-13672-6_35" @default.
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