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Interactive Time Series Exploration Powered by the Marriage of Similarity Distances.

, , , and . Proc. VLDB Endow., 10 (3): 169-180 (2016)

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A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances., , , , , and . IEEE Trans. Knowl. Data Eng., 34 (4): 1516-1529 (2022)Interactive Temporal Association Analytics., , , , and . EDBT, page 197-208. OpenProceedings.org, (2016)Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances., , , , , , , and . ICDE, page 521-532. IEEE Computer Society, (2018)Taming Big Data: Integrating diverse public data sources for economic competitiveness analytics., , , , , , , , , and 2 other author(s). Data4U@VLDB, page 25. ACM, (2014)Interactive Time Series Analytics Powered by ONEX., , , , , and . SIGMOD Conference, page 1595-1598. ACM, (2017)A deep learning approach to trespassing detection using video surveillance data., , and . IEEE BigData, page 3535-3544. IEEE, (2019)Trends and challenges in dynamic optimization problems., , and . HIS, page 283-288. IEEE, (2011)Towards spreadsheet integration using entity identification driven by a spatial-temporal model., , and . SAC, page 1083-1085. ACM, (2016)Correlation-Based Analytics of Time Series Data., , , , and . IEEE BigData, page 4482-4491. IEEE, (2020)iPARAS: Incremental Construction of Parameter Space for Online Association Mining., , , , and . BigMine, volume 36 of JMLR Workshop and Conference Proceedings, page 149-165. JMLR.org, (2014)