Anomaly detection and knowledge discovery using Vessel Tracking Data
The information available to understand what is happening at sea is nowadays almost complete for many monitoring applications. Nevertheless, the size of the areas to be controlled and the amount of tracking data from a multitude of sensors and systems in real-time make the detection of illegal activities a difficult task, especially if this is left to human operators.
This work will introduce recent JRC research activities relevant to automatic anomaly detection and knowledge discovery in the maritime domain. Data mining, data analytics and predictive analysis examples are introduced using real data. In addition, this paper presents approaches to detect reporting messages anomalies and unexpected behaviours at sea.
ALESSANDRINI Alfredo;
ALVAREZ ALVAREZ Marlene;
VAN WIMERSMA GREIDANUS Herman;
GAMMIERI Vincenzo;
FERNANDEZ ARGUEDAS Virginia;
MAZZARELLA Fabio;
SANTAMARIA SERNA Carlos;
STASOLLA Mattia;
TARCHI Dario;
VESPE Michele;
2016-10-10
European Commission
JRC102518
978-92-79-61301-2,
https://bluehub.jrc.ec.europa.eu/static/KDAD/KDAD_Proceedings.pdf,
https://publications.jrc.ec.europa.eu/repository/handle/JRC102518,
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