Title: Anomaly detection and knowledge discovery using Vessel Tracking Data
Authors: ALESSANDRINI ALFREDOALVAREZ ALVAREZ MarleneVAN WIMERSMA GREIDANUS HermanGAMMIERI VINCENZOFERNANDEZ ARGUEDAS VIRGINIAMAZZARELLA FABIOSANTAMARIA SERNA CARLOSSTASOLLA MATTIATARCHI DarioVESPE MICHELE
Publisher: European Commission
Publication Year: 2016
JRC N°: JRC102518
ISBN: 978-92-79-61301-2
URI: https://bluehub.jrc.ec.europa.eu/static/KDAD/KDAD_Proceedings.pdf
http://publications.jrc.ec.europa.eu/repository/handle/JRC102518
Type: Articles in periodicals and books
Abstract: 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.
JRC Directorate:Space, Security and Migration

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