Identification of freight patterns via association rules: the case of agricultural grains.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086281 |
Resumo: | 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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Identification of freight patterns via association rules: the case of agricultural grains.Mineração de dadosData miningAgronegócioLogísticaTransporteAgribusinessThe 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.CARLOS EDUARDO SOUZA MOREIRA, Unicamp; ANDRÉA LEDA RAMOS DE OLIVEIRA, Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; AKEBO YAMAKAMI, Unicamp.MOREIRA, C. E. S.OLIVEIRA, A. L. R. deOLIVEIRA, S. R. de M.YAMAKAMI, A.2018-01-25T23:35:46Z2018-01-25T23:35:46Z2018-01-2520172018-01-25T23:35:46Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBulgarian Journal of Agricultural Science, v. 23, n. 6, p. 887-893, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086281enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-01-25T23:35:52Zoai:www.alice.cnptia.embrapa.br:doc/1086281Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-01-25T23:35:52falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-01-25T23:35:52Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Identification of freight patterns via association rules: the case of agricultural grains. |
title |
Identification of freight patterns via association rules: the case of agricultural grains. |
spellingShingle |
Identification of freight patterns via association rules: the case of agricultural grains. MOREIRA, C. E. S. Mineração de dados Data mining Agronegócio Logística Transporte Agribusiness |
title_short |
Identification of freight patterns via association rules: the case of agricultural grains. |
title_full |
Identification of freight patterns via association rules: the case of agricultural grains. |
title_fullStr |
Identification of freight patterns via association rules: the case of agricultural grains. |
title_full_unstemmed |
Identification of freight patterns via association rules: the case of agricultural grains. |
title_sort |
Identification of freight patterns via association rules: the case of agricultural grains. |
author |
MOREIRA, C. E. S. |
author_facet |
MOREIRA, C. E. S. OLIVEIRA, A. L. R. de OLIVEIRA, S. R. de M. YAMAKAMI, A. |
author_role |
author |
author2 |
OLIVEIRA, A. L. R. de OLIVEIRA, S. R. de M. YAMAKAMI, A. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
CARLOS EDUARDO SOUZA MOREIRA, Unicamp; ANDRÉA LEDA RAMOS DE OLIVEIRA, Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; AKEBO YAMAKAMI, Unicamp. |
dc.contributor.author.fl_str_mv |
MOREIRA, C. E. S. OLIVEIRA, A. L. R. de OLIVEIRA, S. R. de M. YAMAKAMI, A. |
dc.subject.por.fl_str_mv |
Mineração de dados Data mining Agronegócio Logística Transporte Agribusiness |
topic |
Mineração de dados Data mining Agronegócio Logística Transporte Agribusiness |
description |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2018-01-25T23:35:46Z 2018-01-25T23:35:46Z 2018-01-25 2018-01-25T23:35:46Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Bulgarian Journal of Agricultural Science, v. 23, n. 6, p. 887-893, 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086281 |
identifier_str_mv |
Bulgarian Journal of Agricultural Science, v. 23, n. 6, p. 887-893, 2017. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086281 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503448710873088 |