MOVELETS
Author:
Affiliation:
1. Universidade Federal de Santa Catarina (PPGCC/UFSC), SC, Brazil
2. Universidade Federal de Santa Catarina (UFSC), SC, Brazil
3. Universidade Federal da Integração, PR, Brazil
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3167132.3167225
Reference13 articles.
1. A Rule-based Method for Discovering Trajectory Profiles
2. Revealing the physics of movement: Comparing the similarity of movement characteristics of different types of moving objects
3. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
4. Classification of time series by shapelet transformation
5. TraClass
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1. Trajectory Mining and Routing: A Cross-Sectoral Approach;Journal of Marine Science and Engineering;2024-01-12
2. UltraMovelets: Efficient Movelet Extraction for Multiple Aspect Trajectory Classification;Lecture Notes in Computer Science;2024
3. Improving trajectory classification through Kramers–Moyal coefficients;AI Open;2024
4. The Trajectory Interval Forest Classifier for Trajectory Classification;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13
5. A real-time trajectory classification module;Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023;2023-11-13
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