Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://repositorio.inesctec.pt/handle/123456789/5321 http://dx.doi.org/10.1016/j.compag.2015.11.011 |
Resumo: | Agribusiness is an activity that generates huge amounts of temporal data. There are research centers that collect, store and create indexes of agricultural activities, providing multidimensional time series composed by years of data. In this paper, we are interested in studying the behavior of these time series, especially in what regards the evolution of agricultural price indexes over the years. We explore data mining techniques tailored to analyze temporal data, aiming to generate spatio-temporal trajectories of grains price indexes for six years of data. We propose the use of Tucker decomposition to both analyze the temporal patterns of these price indexes and map trajectories that represent their behavior over time in a concise and representative low-dimensional subspace. The case study presents an application of this methodology to real databases of price indexes of corn and soybeans in Brazil and the United States. |
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Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectoriesAgribusiness is an activity that generates huge amounts of temporal data. There are research centers that collect, store and create indexes of agricultural activities, providing multidimensional time series composed by years of data. In this paper, we are interested in studying the behavior of these time series, especially in what regards the evolution of agricultural price indexes over the years. We explore data mining techniques tailored to analyze temporal data, aiming to generate spatio-temporal trajectories of grains price indexes for six years of data. We propose the use of Tucker decomposition to both analyze the temporal patterns of these price indexes and map trajectories that represent their behavior over time in a concise and representative low-dimensional subspace. The case study presents an application of this methodology to real databases of price indexes of corn and soybeans in Brazil and the United States.2018-01-03T10:35:49Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/5321http://dx.doi.org/10.1016/j.compag.2015.11.011engCorrea,FEMárcia Barbosa OliveiraJoão GamaCorrea,PLPRady,Jinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:20:02Zoai:repositorio.inesctec.pt:123456789/5321Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:35.952813Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories |
title |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories |
spellingShingle |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories Correa,FE |
title_short |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories |
title_full |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories |
title_fullStr |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories |
title_full_unstemmed |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories |
title_sort |
Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories |
author |
Correa,FE |
author_facet |
Correa,FE Márcia Barbosa Oliveira João Gama Correa,PLP Rady,J |
author_role |
author |
author2 |
Márcia Barbosa Oliveira João Gama Correa,PLP Rady,J |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Correa,FE Márcia Barbosa Oliveira João Gama Correa,PLP Rady,J |
description |
Agribusiness is an activity that generates huge amounts of temporal data. There are research centers that collect, store and create indexes of agricultural activities, providing multidimensional time series composed by years of data. In this paper, we are interested in studying the behavior of these time series, especially in what regards the evolution of agricultural price indexes over the years. We explore data mining techniques tailored to analyze temporal data, aiming to generate spatio-temporal trajectories of grains price indexes for six years of data. We propose the use of Tucker decomposition to both analyze the temporal patterns of these price indexes and map trajectories that represent their behavior over time in a concise and representative low-dimensional subspace. The case study presents an application of this methodology to real databases of price indexes of corn and soybeans in Brazil and the United States. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01T00:00:00Z 2016 2018-01-03T10:35:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.inesctec.pt/handle/123456789/5321 http://dx.doi.org/10.1016/j.compag.2015.11.011 |
url |
http://repositorio.inesctec.pt/handle/123456789/5321 http://dx.doi.org/10.1016/j.compag.2015.11.011 |
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.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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