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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)

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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)ST-DMQL: A Semantic Trajectory Data Mining Query Language., , and . Int. J. Geogr. Inf. Sci., 23 (10): 1245-1276 (2009)Discovering Heterogeneous Subsequences for Trajectory Classification., , , , and . CoRR, (2019)A model for enriching trajectories with semantic geographical information., , , , , and . GIS, page 22. ACM, (2007)Filtering Frequent Spatial Patterns with Qualitative Spatial Reasoning., , and . ICDE Workshops, page 527-535. IEEE Computer Society, (2007)GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining., , and . SEKE, page 79-84. (2006)Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints., , , , , and . ICDM, page 813-817. IEEE Computer Society, (2006)Evaluating the effect of compressing algorithms for trajectory similarity and classification problems., , , , , and . GeoInformatica, 25 (4): 679-711 (2021)MASTER: A multiple aspect view on trajectories., , , , , , , and . Trans. GIS, 23 (4): 805-822 (2019)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)