Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation
Volume: 128, Pages: 129 - 157
Published: Oct 1, 2019
Abstract
Maritime transportation plays a pivotal role in the economy and globalization, while it poses threats and risks to the maritime environment. In order to maintain maritime safety, one of the most important mitigation solutions is the Port State Control (PSC) inspection. In this paper, a data-driven Bayesian network classifier named Tree Augmented Naive Bayes (TAN) classifier is developed to identify high-risk foreign vessels coming to the PSC...
Paper Details
Title
Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation
Published Date
Oct 1, 2019
Volume
128
Pages
129 - 157
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