Anomaly detection in vessel tracking using Support Vector Machines (SVMs)

• Main Authors: Dwi Handayani, Dini Oktarina, Sediono, Wahju, Shah, Asadullah
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: TK5101 Telecommunication. Including telegraphy, radio, radar, television
• Online Access: http://irep.iium.edu.my/35362/1/asadullah.pdf; http://irep.iium.edu.my/35362/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6836578&tag=1

The paper is devoted to supervise method approach to identify the vessel anomaly behavior in waterways using the Automated Identification System (AIS) vessel reporting data. In this work, we describe the use of SVMs to detect the vessel anomaly behavior. The SVMs is a supervised method that needs so...