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LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures.

, , , , and . VLDB, page 882-893. ACM, (2006)

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Features or Shape? Tackling the False Dichotomy of Time Series Classification., , , , , and . CoRR, (2019)Mining Time Series Data., , , , , and . Data Mining and Knowledge Discovery Handbook, Springer, (2010)LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures., , , , and . VLDB, page 882-893. ACM, (2006)Scaling and Time Warping in Time Series Querying., , , and . VLDB, page 649-660. ACM, (2005)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)On the need for time series data mining benchmarks: a survey and empirical demonstration., and . KDD, page 102-111. ACM, (2002)Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series., and . SSDBM, page 18:1-18:11. ACM, (2017)Scaling and time warping in time series querying., , , , and . VLDB J., 17 (4): 899-921 (2008)iSAX: indexing and mining terabyte sized time series., and . KDD, page 623-631. ACM, (2008)SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining., , , and . KDD, page 761-764. ACM, (2011)