Vessel Trajectory Data Mining: A Review-Reference-Cited by-同舟云学术

Vessel Trajectory Data Mining: A Review

Published:2025 Issue: Volume:13 Page:4827-4856
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Troupiotis-Kapeliaris Alexandros¹^ORCID,Kastrisios Christos²^ORCID,Zissis Dimitris¹^ORCID

Affiliation:

1. Department of Product and Systems Design Engineering, Intelligent Transportation Systems Laboratory (Smart MOVE), University of the Aegean, Ermoupoli, Greece

2. Center for Coastal and Ocean Mapping/Joint Hydrographic Center, University of New Hampshire, Durham, NH, USA

Funder

European Union’s Horizon Framework Program through the Critical Action Planning Over Extreme-Scale Data (CREXDATA) and MUlti-Sensor Inferred Trajectories

National Recovery and Resilience Plan Greece 2.0

European Union under the NextGenerationEU Program

National Oceanic and Atmospheric Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10820123/10824766.pdf?arnumber=10824766

Reference394 articles.

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4. Spatio-Temporal Data Mining

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