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Fast time series classification using numerosity reduction., , , , и . ICML, том 148 из ACM International Conference Proceeding Series, стр. 1033-1040. ACM, (2006)Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series., , , , , и . IEEE BigData, стр. 917-922. IEEE Computer Society, (2017)Exact Indexing of Dynamic Time Warping.. VLDB, стр. 406-417. Morgan Kaufmann, (2002)Probabilistic discovery of time series motifs., , и . KDD, стр. 493-498. ACM, (2003)Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series., , , , , , , , и . Data Min. Knowl. Discov., 33 (6): 1981-1982 (2019)Introducing time series snippets: a new primitive for summarizing long time series., , , , и . Data Min. Knowl. Discov., 34 (6): 1713-1743 (2020)Disk aware discord discovery: finding unusual time series in terabyte sized datasets., , и . Knowl. Inf. Syst., 17 (2): 241-262 (2008)Derivative Dynamic Time Warping., и . SDM, стр. 1-11. SIAM, (2001)Finding Motifs in a Database of Shapes., , , и . SDM, стр. 249-260. SIAM, (2007)Scaling up dynamic time warping for datamining applications., и . KDD, стр. 285-289. ACM, (2000)