Identification of vessel anomaly behavior using support vector machines and Bayesian networks

Identification of vessel anomaly behavior using support vector machines and Bayesian networks

In this work, a model based on Support Vector Machines (SVMs) classification to identify vessel anomaly behavior have been proposed and implemented, and the result is compared to Bayesian Networks (BNs). The works have been done using the real world Automated Identification System (AIS) ve...

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Bibliographic Details
Main Authors: Dwi Handayani, Dini Oktarina, Sediono, Wahju, Shah, Asadullah
Format: Proceeding Paper
Language:English
English
English
Published: 2014
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/38408/
http://irep.iium.edu.my/38408/1/p.1080.ICCCE.2014.pdf
http://irep.iium.edu.my/38408/4/Sessions.pdf
http://irep.iium.edu.my/38408/7/38408_Identification%20of%20vessel%20anomaly%20behavior_Scopus.pdf

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