Title: Applying Knowledge Discovery and Semantics for Detecting Anomalous Container Trips
Authors: CAMOSSI ElenaDIMITROVA TATYANAMAZZOLA LUCATSOIS ArisVILLA PAOLA
Citation: Proceedings of the COST MOVE Workshop on Moving Objects at Sea
Publisher: COST MOVE
Publication Year: 2013
JRC N°: JRC82503
URI: https://sites.google.com/site/movingobjectsatsea/accepted-papers
http://publications.jrc.ec.europa.eu/repository/handle/JRC82503
Type: Articles in periodicals and books
Abstract: Containers have become one of the most concrete breach for global security, and there is a pressing need of novel methods to target highly risky container shipments. In this paper we present the ongoing research carried out at the European Commission Joint Research Centre for the development of data mining and semantic approaches for route based risk indicators to discover anomalous container trips.
JRC Directorate:Space, Security and Migration

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