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Applications of Machine Learning and Data Analytics Models in Maritime Transportation (Hardcover)
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Applications of Machine Learning and Data Analytics Models in Maritime Transportation (Hardcover)
Series: Transportation
Expected to ship within 10 - 15 working days
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Machine learning and data analytics can be used to inform
technical, commercial and financial decisions in the maritime
industry. Applications of Machine Learning and Data Analytics
Models in Maritime Transportation explores the fundamental
principles of analysing maritime transportation related practical
problems using data-driven models, with a particular focus on
machine learning and operations research models. Data-enabled
methodologies, technologies, and applications in maritime
transportation are clearly and concisely explained, and case
studies of typical maritime challenges and solutions are also
included. The authors begin with an introduction to maritime
transportation, followed by chapters providing an overview of ship
inspection by port state control, and the principles of data driven
models. Further chapters cover linear regression models, Bayesian
networks, support vector machines, artificial neural networks,
tree-based models, association rule learning, cluster analysis,
classic and emerging approaches to solving practical problems in
maritime transport, incorporating shipping domain knowledge into
data-driven models, explanation of black-box machine learning
models in maritime transport, linear optimization, advanced linear
optimization, and integer optimization. A concluding chapter
provides an overview of coverage and explores future possibilities
in the field. The book will be especially useful to researchers and
professionals with expertise in maritime research who wish to learn
how to apply data analytics and machine learning to their fields.
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