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Querying and mining of time series data: experimental comparison of representations and distance measures.

H. Ding, G. Trajcevski, P. Scheuermann, X. Wang, and E. Keogh. PVLDB, 1 (2): 1542-1552 (2008)

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Reactive maintenance of continuous queries.G. Trajcevski, and P. Scheuermann. Mobile Computing and Communications Review, 8 (3): 20-31 (2004)LaCAVR: Load and Constraints Aware Vehicle Rerouting.D. Bis, N. Bix, B. Gruman, S. Guenette, A. Hauge, H. Moser, J. Paul, and G. Trajcevski. MDM, page 359-360. IEEE, (2019)The tale of (fusing) two uncertainties.B. Zhang, and G. Trajcevski. SIGSPATIAL/GIS, page 521-524. ACM, (2014)Accurate vehicle self-localization in high definition map dataset.A. Zang, Z. Li, D. Doria, and G. Trajcevski. AutonomousGIS@SIGSPATIAL, page 2:1-2:8. ACM, (2017)Processing (Multiple) Spatio-temporal Range Queries in Multicore Settings.G. Trajcevski, A. Yaagoub, and P. Scheuermann. ADBIS, volume 6909 of Lecture Notes in Computer Science, page 214-227. Springer, (2011)Location-Awareness in Time Series Compression.X. Teng, A. Züfle, G. Trajcevski, and D. Klabjan. ADBIS, volume 11019 of Lecture Notes in Computer Science, page 82-95. Springer, (2018)Information Cascades Modeling via Deep Multi-Task Learning.X. Chen, K. Zhang, F. Zhou, G. Trajcevski, T. Zhong, and F. Zhang. SIGIR, page 885-888. ACM, (2019)The Geometry of Uncertainty in Moving Objects Databases.G. Trajcevski, O. Wolfson, F. Zhang, and S. Chamberlain. EDBT, volume 2287 of Lecture Notes in Computer Science, page 233-250. Springer, (2002)Evolving Triggers for Dynamic Environments.G. Trajcevski, P. Scheuermann, O. Ghica, A. Hinze, and A. Voisard. EDBT, volume 3896 of Lecture Notes in Computer Science, page 1039-1048. Springer, (2006)Bypassing Holes in Sensor Networks: Load-Balance vs. Latency.G. Trajcevski, F. Zhou, R. Tamassia, B. Avci, P. Scheuermann, and A. Khokhar. GLOBECOM, page 1-5. IEEE, (2011)

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Querying and mining of time series data: experimental comparison of representations and distance measures.

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Querying and mining of time series data: experimental comparison of representations and distance measures.