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Unusual behavior detection and object ranking from movement trajectories in target regions., , and . 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., , and . Int. J. Geogr. Inf. Sci., 22 (4): 361-386 (2008)DB-SMoT: A direction-based spatio-temporal clustering method., , , , and . IEEE Conf. of Intelligent Systems, page 114-119. IEEE, (2010)Weka-STPM: a Software Architecture and Prototype for Semantic Trajectory Data Mining and Visualization., , , , and . T. GIS, 15 (2): 227-248 (2011)Evaluating the effect of compressing algorithms for trajectory similarity and classification problems., , , , , and . GeoInformatica, 25 (4): 679-711 (2021)Semantic Trajectory Data Mining: a User Driven Approach., and . Geographic Privacy-Aware Knowledge Discovery and Delivery, volume 08471 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2008)MASTER: A multiple aspect view on trajectories., , , , , , , and . Trans. GIS, 23 (4): 805-822 (2019)Criteria for the Analysis of Coordination in Multi-agent Applications., and . COORDINATION, volume 2315 of Lecture Notes in Computer Science, page 158-165. Springer, (2002)Towards semantic-aware multiple-aspect trajectory similarity measuring., , , , and . Trans. GIS, 23 (5): 960-975 (2019)GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining., , and . SEKE, page 79-84. (2006)