Analysis of port institutional, economic, social and environmental dimensions using artificial intelligence

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Ports are drivers, but at the same time they are immersed in the processes of globalization of societies. That is why they are not alien to the potential of data mining methodologies, which try to discover patterns in large volumes of data sets such as those handled in the port area: Data mining is...

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Detalles Bibliográficos
Autores principales: Molina Serrano, Beatriz, González-Cancelas, Nicoletta, Soler-Flores, Francisco, Camarero Orive, Alberto
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: Facultad de Filosofía y Letras, Universidad de Buenos Aires 2018
Materias:
sostenibilidad
puertos
inteligencia artificial
redes bayesianas
sustainability
ports
artificial intelligence
bayesian networks
Acceso en línea:https://revistascientificas.filo.uba.ar/index.php/rtt/article/view/4937
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=transter&d=4937_oai
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Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

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