Vessel Trajectory Data Mining: A Review
Recent advancements in sensor and tracking technologies have facilitated the real-time tracking of marine vessels as they traverse the oceans. As a result, there is an increasing demand to analyze these datasets to derive insights into vessel movement patterns and to investigate activities occurring...
Saved in:
| Main Authors: | Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10824766/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatio-Temporal Contact Mining for Multiple Trajectories-of-Interest
by: Adikarige Randil Sanjeewa Madanayake, et al.
Published: (2024-01-01) -
Automated Construction and Mining of Text-Based Modern Chinese Character Databases: A Case Study of Fujian
by: Xueyan Jian, et al.
Published: (2025-04-01) -
A Generic Data Analytics System for Manufacturing Production
by: Hao Zhang, et al.
Published: (2018-06-01) -
Location Prediction on Trajectory Data: A Review
by: Ruizhi Wu, et al.
Published: (2018-06-01) -
Multiscale Fuzzy Temporal Pattern Mining: A Block-Decomposition Algorithm for Partial Periodic Associations in Event Data
by: Aihua Zhu, et al.
Published: (2025-04-01)