Technological applications in transport logistics port. Container terminals

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Given the need to handle large data information emerging new techniques based on data mining in order to discover patterns. In this case prediction patterns needed to enable rapid and effective use of these data. In this paper prediction models based on data mining and have been analyzed in several...

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Autor principal: Rodríguez García, Tomás
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: Facultad de Filosofía y Letras, Universidad de Buenos Aires 2016
Materias:
planning
logistics
transport
container terminal
planificación
logística
transporte
terminal de contenedores
planejamiento
terminal de contêineres
Acceso en línea:http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/2426
http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=transter&d=2426_oai
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Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires
id I28-R145-2426_oai
record_format dspace
spelling I28-R145-2426_oai2021-07-29 Rodríguez García, Tomás 2016-06-23 Given the need to handle large data information emerging new techniques based on data mining in order to discover patterns. In this case prediction patterns needed to enable rapid and effective use of these data. In this paper prediction models based on data mining and have been analyzed in several studies to evaluate its acceptance are cited. These models are bayesian networks (RB) and artificial neural networks (ANN). The paper concludes with some examples of investigations realized with RB and RNA where forecasts have been analyzed international container ports terminals.  Ante la necesidad de manejar una gran información de datos surgen nuevas técnicas basadas en la minería de datos con objeto de descubrir patrones. En este caso patrones de predicción necesarios para poder hacer un uso rápido y eficaz de estos datos. En este documento se citan algunos modelos de predicción basados en la minería de datos y que han sido analizados en diversos estudios para valorar su aceptación. Los modelos citados en el artículo son: redes bayesianas (RB) y redes neuronales artificiales (RNA). Al final del documento se incluyen algunos ejemplos de investigaciones realizadas con RB y RNA donde se han analizado previsiones a nivel internacional de puertos con terminales de contenedores. application/pdf http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/2426 10.34096/rtt.i14.2426 spa Facultad de Filosofía y Letras, Universidad de Buenos Aires http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/2426/2084 Revista Transporte y Territorio; Núm. 14 (2016): (enero-junio) - Transporte y Logística; 5-26 1852-7175 planning logistics transport container terminal planificación logística transporte terminal de contenedores planejamiento logística transporte terminal de contêineres Technological applications in transport logistics port. Container terminals Aplicaciones tecnológicas en la logística de transportes portuarios. Las terminales de contenedores info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=transter&d=2426_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
language Español
orig_language_str_mv spa
topic planning
logistics
transport
container terminal
planificación
logística
transporte
terminal de contenedores
planejamiento
logística
transporte
terminal de contêineres
spellingShingle planning
logistics
transport
container terminal
planificación
logística
transporte
terminal de contenedores
planejamiento
logística
transporte
terminal de contêineres
Rodríguez García, Tomás
Technological applications in transport logistics port. Container terminals
topic_facet planning
logistics
transport
container terminal
planificación
logística
transporte
terminal de contenedores
planejamiento
logística
transporte
terminal de contêineres
description Given the need to handle large data information emerging new techniques based on data mining in order to discover patterns. In this case prediction patterns needed to enable rapid and effective use of these data. In this paper prediction models based on data mining and have been analyzed in several studies to evaluate its acceptance are cited. These models are bayesian networks (RB) and artificial neural networks (ANN). The paper concludes with some examples of investigations realized with RB and RNA where forecasts have been analyzed international container ports terminals. 
format Artículo
publishedVersion
author Rodríguez García, Tomás
author_facet Rodríguez García, Tomás
author_sort Rodríguez García, Tomás
title Technological applications in transport logistics port. Container terminals
title_short Technological applications in transport logistics port. Container terminals
title_full Technological applications in transport logistics port. Container terminals
title_fullStr Technological applications in transport logistics port. Container terminals
title_full_unstemmed Technological applications in transport logistics port. Container terminals
title_sort technological applications in transport logistics port. container terminals
publisher Facultad de Filosofía y Letras, Universidad de Buenos Aires
publishDate 2016
url http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/2426
http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=transter&d=2426_oai
work_keys_str_mv AT rodriguezgarciatomas technologicalapplicationsintransportlogisticsportcontainerterminals
AT rodriguezgarciatomas aplicacionestecnologicasenlalogisticadetransportesportuarioslasterminalesdecontenedores
_version_ 1766023577636700160

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