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Integral-based filtering of continuous glucose sensor measurements for glycaemic control in critical care., , , , , , and . Comput. Methods Programs Biomed., 82 (3): 238-247 (2006)Efficient Discovery of Unusual Patterns in Time Series., , , and . New Gener. Comput., 25 (1): 61-93 (2006)Experiencing SAX: a novel symbolic representation of time series., , , and . Data Min. Knowl. Discov., 15 (2): 107-144 (2007)Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest., , and . IJCAI, page 2930-2936. ijcai.org, (2019)TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory., , , , and . ECML/PKDD (3), volume 10536 of Lecture Notes in Computer Science, page 428-431. Springer, (2017)Mining Time Series Data., , , , , and . The Data Mining and Knowledge Discovery Handbook, Springer, (2005)Observing Infinite-dimensional Dynamical Systems., and . SIAM J. Applied Dynamical Systems, 9 (4): 1229-1243 (2010)Clustering of streaming time series is meaningless., , and . DMKD, page 56-65. ACM, (2003)Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications., , , and . IEEE Trans. Information Technology in Biomedicine, 10 (3): 429-439 (2006)VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases., , , , and . VLDB, page 1269-1272. Morgan Kaufmann, (2004)