Data mining approach to shipping route characterization and anomaly detection based on AIS data
Abstract
null null A data mining approach is presented for probabilistic characterization of maritime traffic and anomaly detection. The approach automatically groups historical traffic data provided by the Automatic Identification System in terms of ship types, sizes, final destinations and other characteristics that influence the maritime traffic patterns off the continental coast of Portugal. The approach consists of identifying relevant waypoints...
Paper Details
Title
Data mining approach to shipping route characterization and anomaly detection based on AIS data
Published Date
Feb 15, 2020
Journal
Volume
198
Pages
106936
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