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MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification.

, , , , , and . Data Min. Knowl. Discov., 34 (3): 652-680 (2020)

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A Survey and Comparison of Trajectory Classification Methods., , and . BRACIS, page 788-793. IEEE, (2019)Exploring frequency-based approaches for efficient trajectory classification., , , , and . SAC, page 624-631. ACM, (2020)Evaluating the effect of compressing algorithms for trajectory similarity and classification problems., , , , , and . GeoInformatica, 25 (4): 679-711 (2021)Mining Journals to the Ground: An Exploratory Analysis of Newspaper Articles., , , and . BRACIS, page 78-83. IEEE, (2019)The Reachability of Computer Programs., , , and . CoRR, (2017)Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification., , , and . BRACIS (1), volume 13073 of Lecture Notes in Computer Science, page 468-483. Springer, (2021)MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification., , , , , and . Data Min. Knowl. Discov., 34 (3): 652-680 (2020)MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings., , , , and . Int. J. Geogr. Inf. Sci., 34 (7): 1428-1450 (2020)