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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
25/01/2018 |
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Data da última atualização: |
25/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MOREIRA, C. E. S.; OLIVEIRA, A. L. R. de; OLIVEIRA, S. R. de M.; YAMAKAMI, A. |
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Afiliação: |
CARLOS EDUARDO SOUZA MOREIRA, Unicamp; ANDRÉA LEDA RAMOS DE OLIVEIRA, Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; AKEBO YAMAKAMI, Unicamp. |
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Título: |
Identification of freight patterns via association rules: the case of agricultural grains. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Bulgarian Journal of Agricultural Science, v. 23, n. 6, p. 887-893, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
The road system is the main form of transport in the biggest production regions between the domestic market and exporting. ports, as well as the transport used on intermodal routes connecting production areas with rail and/or water terminals. The goal of the current study is to recognize non-obvious patterns in a mass of data for road freights of selected grain: soy and corn. As such, the data mining technique, known as the Apriori algorithm, is used to generate association rules that describe such patterns. Among the varied rules identified by this technique, we highlight those that enable us to conclude that: i. Soy and corn production in the state of Mato Grosso is carried via the port of Santos; ii. The grain storage silos located in the state of Mato Grosso mainly receive shipments from the same state; iii. The port of São Francisco do Sul, mainly receives corn; iv. In the state of Minas Gerais there is an intermodal route that receives the grain originating mostly from Mato Grosso and transfers it to the rail system, which then carries the load to its next destination. |
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Palavras-Chave: |
Data mining; Mineração de dados. |
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Thesagro: |
Agronegócio; Logística; Transporte. |
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Thesaurus Nal: |
Agribusiness. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171641/1/Identification-freight-Moreira-.pdf
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Marc: |
LEADER 01788naa a2200229 a 4500
001 2086281
005 2018-01-25
008 2017 bl uuuu u00u1 u #d
100 1 $aMOREIRA, C. E. S.
245 $aIdentification of freight patterns via association rules$bthe case of agricultural grains.$h[electronic resource]
260 $c2017
520 $aThe road system is the main form of transport in the biggest production regions between the domestic market and exporting. ports, as well as the transport used on intermodal routes connecting production areas with rail and/or water terminals. The goal of the current study is to recognize non-obvious patterns in a mass of data for road freights of selected grain: soy and corn. As such, the data mining technique, known as the Apriori algorithm, is used to generate association rules that describe such patterns. Among the varied rules identified by this technique, we highlight those that enable us to conclude that: i. Soy and corn production in the state of Mato Grosso is carried via the port of Santos; ii. The grain storage silos located in the state of Mato Grosso mainly receive shipments from the same state; iii. The port of São Francisco do Sul, mainly receives corn; iv. In the state of Minas Gerais there is an intermodal route that receives the grain originating mostly from Mato Grosso and transfers it to the rail system, which then carries the load to its next destination.
650 $aAgribusiness
650 $aAgronegócio
650 $aLogística
650 $aTransporte
653 $aData mining
653 $aMineração de dados
700 1 $aOLIVEIRA, A. L. R. de
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aYAMAKAMI, A.
773 $tBulgarian Journal of Agricultural Science$gv. 23, n. 6, p. 887-893, 2017.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Registros recuperados : 433 | |
| 11. |  | SILVA NETO, S. P. da; MOREIRA, C. T. A escolha certa da cultivar de soja. Seed News, ano XV, n. 1, p. 20-21, jan./fev. 2011. Publicado também em: Página Rural, 13 out. 2010; Portal do Agronegócio, 15 out. 2010; ZooNews, 17 out. 2010; Agronline, 18 de out. 2010, disponível no CRI7765.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 5 |
| Biblioteca(s): Embrapa Cerrados. |
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| 13. | | KATO, A. K.; MOREIRA, C. S.; MURAOKA, T.; NEPTUNE, A. M. L. Análise do crescimento e da distribuição de matéria seca em pimenta-do-reino (Piper nigrum, L.). In: SIMPÓSIO DO TRÓPICO ÚMIDO, 1., 1984, Belém, PA. Resumos. Belém, PA: EMBRAPA-CPATU, 1984. p. 288. (EMBRAPA-CPATU. Documentos, 31).| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 14. | | KATO, A. K.; MOREIRA, C. S.; MURAOKA, T.; NEPTUNE, A. M. L. Absorção de N, P, K, Ca e Mg pela pimenta-do-reino (Piper nigrum L.). In: SIMPÓSIO DO TRÓPICO ÚMIDO, 1., 1984, Belém, PA. Resumos. Belém, PA: EMBRAPA-CPATU, 1984. p. 291. (EMBRAPA-CPATU. Documentos, 31).| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 19. | | MANTOVANI, E. C.; MAY, A.; SILVA, J. R. da; MOREIRA, C. A. Colheita. In: BORÉM, A.; PIMENTEL, L. D.; PARRELLA, R. A. da C. (Ed.). Sorgo: do plantio à colheita. Viçosa, MG: UFV, 2014. cap. 11, p. 266-275.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 433 | |
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