Technological applications in transport logistics port. Container terminals
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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| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
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Facultad de Filosofía y Letras, Universidad de Buenos Aires
2016
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| 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 |
| Aporte de: |
| Sumario: | 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. |
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