Applying Knowledge Discovery and Semantics for Detecting Anomalous Container Trips
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.
CAMOSSI Elena;
DIMITROVA Tatyana;
MAZZOLA Luca;
TSOIS Aris;
VILLA Paola;
2014-08-18
COST MOVE
JRC82503
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