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Real-time maritime anomaly detection: detecting intentional AIS switch-off., , , , and . Int. J. Big Data Intell., 7 (2): 85-96 (2020)A comparison of supervised learning schemes for the detection of search and rescue (SAR) vessel patterns., , , and . GeoInformatica, 25 (4): 601-622 (2021)Knowledge extraction from maritime spatiotemporal data: An evaluation of clustering algorithms on Big Data., , , , , , and . IEEE BigData, page 1682-1687. IEEE Computer Society, (2017)Mining Vessel Trajectory Data for Patterns of Search and Rescue., , , and . EDBT/ICDT Workshops, volume 2083 of CEUR Workshop Proceedings, page 117-124. CEUR-WS.org, (2018)GMSA: A Digital Twin Application for Maritime Route and Event Forecasting., , , , , , , , , and 2 other author(s). EDBT, page 798-801. OpenProceedings.org, (2024)Maritime Network Analysis: Connectivity and Spatial Distribution., , , and . Guide to Maritime Informatics, Springer, (2021)A Scalable System for Maritime Route and Event Forecasting., , , , , , , , , and 2 other author(s). EDBT, page 762-769. OpenProceedings.org, (2024)Navigating through dense waters: a toolbox for creating maritime density maps., , , and . SETN, page 60:1-60:4. ACM, (2022)The Big Picture: An Improved Method for Mapping Shipping Activities., , , , , and . Remote. Sens., 15 (21): 5080 (November 2023)Detecting representative trajectories from global AIS datasets., , and . ITSC, page 2278-2285. IEEE, (2021)