Anomaly detection in vessel tracking: a Bayesian Networks (BNs) approach

Anomaly detection in vessel tracking: a Bayesian Networks (BNs) approach

The paper describes the supervised method approach to identifying vessel anomaly behaviour. The vessel anomaly behaviour is determined by learning from self-reporting maritime systems based on the Automatic Identification System (AIS). The AIS is a real world vessel reporting data system, which ha...

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Bibliographic Details
Main Authors: Handayani, Dini, Sediono, Wahju
Format: Article
Language:English
English
Published: Transactions of The Royal Institution of Naval Architects. 2015
Subjects:
TK7885 Computer engineering
V Naval Science (General)
Online Access:http://irep.iium.edu.my/42799/
http://irep.iium.edu.my/42799/1/46.ANOMALY_DETECTION_BAYESIAN_NETWORKS_APPROACH.ijme.2015.pdf
http://irep.iium.edu.my/42799/4/42799_anomaly_detection_in_vessel_tracking_Scopus.pdf

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