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A Service Framework for Learning, Querying and Monitoring Multivariate Time Series., , and . ICEIS (2), page 92-101. SciTePress, (2011)Analyzing Log Analysis: An Empirical Study of User Log Mining., , , , , and . LISA, page 53-68. USENIX Association, (2014)Mining Time Series Data., , , , , and . The Data Mining and Knowledge Discovery Handbook, Springer, (2005)R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series., , and . DSS, volume 238 of Frontiers in Artificial Intelligence and Applications, page 209-220. IOS Press, (2012)Finding structurally different medical data., and . CBMS, page 1-8. IEEE Computer Society, (2009)Observing Infinite-dimensional Dynamical Systems., and . SIAM J. Applied Dynamical Systems, 9 (4): 1229-1243 (2010)Experiencing SAX: a novel symbolic representation of time series., , , and . Data Min. Knowl. Discov., 15 (2): 107-144 (2007)Efficient Discovery of Unusual Patterns in Time Series., , , and . New Generation Comput., 25 (1): 61-93 (2006)Using myoelectric signals to recognize grips and movements of the hand., , , , and . BIBM, page 388-394. IEEE Computer Society, (2015)Integral-based filtering of continuous glucose sensor measurements for glycaemic control in critical care., , , , , , and . Computer Methods and Programs in Biomedicine, 82 (3): 238-247 (2006)