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Unusual behavior detection and object ranking from movement trajectories in target regions., , и . Int. J. Geogr. Inf. Sci., 31 (2): 364-386 (2017)Reducing uninteresting spatial association rules in geographic databases using background knowledge: a summary of results., , и . Int. J. Geogr. Inf. Sci., 22 (4): 361-386 (2008)Evaluating the effect of compressing algorithms for trajectory similarity and classification problems., , , , , и . GeoInformatica, 25 (4): 679-711 (2021)Weka-STPM: a Software Architecture and Prototype for Semantic Trajectory Data Mining and Visualization., , , , и . T. GIS, 15 (2): 227-248 (2011)DB-SMoT: A direction-based spatio-temporal clustering method., , , , и . IEEE Conf. of Intelligent Systems, стр. 114-119. IEEE, (2010)MASTER: A multiple aspect view on trajectories., , , , , , , и . Trans. GIS, 23 (4): 805-822 (2019)Semantic Trajectory Data Mining: a User Driven Approach., и . Geographic Privacy-Aware Knowledge Discovery and Delivery, том 08471 из Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2008)Towards semantic-aware multiple-aspect trajectory similarity measuring., , , , и . Trans. GIS, 23 (5): 960-975 (2019)GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining., , и . SEKE, стр. 79-84. (2006)MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification., , , , , и . Data Min. Knowl. Discov., 34 (3): 652-680 (2020)