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Experimental comparison of representation methods and distance measures for time series data.

, , , , , and . Data Min. Knowl. Discov., 26 (2): 275-309 (2013)

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A Gentle Introduction to Machine Learning and Data Mining for the Database Community.. SBBD, page 2. UFAM, (2003)Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications., , , and . IEEE Transactions on Information Technology in Biomedicine, 10 (3): 429-439 (2006)Nearest Neighbor.. Encyclopedia of Machine Learning and Data Mining, Springer, (2017)Time Series Classification under More Realistic Assumptions., , and . SDM, page 578-586. SIAM, (2013)Multimedia Retrieval Using Time Series Representation and Relevance Feedback., and . ICADL, volume 3815 of Lecture Notes in Computer Science, page 400-405. Springer, (2005)Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases.. PKDD, volume 2838 of Lecture Notes in Computer Science, page 253-265. Springer, (2003)An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data., , and . FQAS, volume 2522 of Lecture Notes in Computer Science, page 240-250. Springer, (2002)Features or Shape? Tackling the False Dichotomy of Time Series Classification., , , , , and . CoRR, (2019)LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures., , , , and . VLDB, page 882-893. ACM, (2006)Mining Time Series Data., , , , , and . Data Mining and Knowledge Discovery Handbook, Springer, (2010)