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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
23/12/2015 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CHINO, D. Y. T.; GONCALVES, R. R. V.; ROMANI, L. A. S.; TRAINA JÚNIOR, C.; TRAINA, A. J. M. |
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Afiliação: |
DANIEL Y. T.CHINO, ICMC/USP; RENATA R. V. GONCALVES, Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; CAETANO TRAINA JÚNIOR, ICMC/USP; AGMA J. M. TRAINA, ICMC/USP. |
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Título: |
Discovering frequent patterns on agrometeorological data with TrieMotif. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 16., 2014, Lisbon. Enterprise information systems: ICEIS 2014: revised selected papers. Switzerland: Springer, 2015. |
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Páginas: |
p. 91-107. |
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Série: |
(Lecture notes in business information processing, 227). |
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DOI: |
10.1007/978-3-319-22348-3 |
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Idioma: |
Inglês |
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Notas: |
Editores: José Cordeiro, Slimane Hammoudi, Leszek Maciaszek, Olivier Camp, Joaquim Filipe. |
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Conteúdo: |
The "food safety" issue has concerned governments from several countries. The accurate monitoring of agriculture have become important specially due to climate change impacts. In this context, the development of new technologies for monitoring are crucial. Finding previously unknown patterns that frequently occur on time series, known as motifs, is a core task to mine the collected data. In this work we present a method that allows a fast and accurate time series motif discovery. From the experiments we can see that our approach is able to efficiently find motifs even when the size of the time series goes longer. We also evaluated our method using real data time series extracted from remote sensing images regarding sugarcane crops. Our proposed method was able to find relevant patterns, as sugarcane cycles and other land covers inside the same area, which are really useful for data analysis. |
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Palavras-Chave: |
Dados agrometeorológicos; Frequent motif; Remote sensing image; Séries temporais. |
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Thesagro: |
Análise de dados. |
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Thesaurus Nal: |
Data analysis; Remote sensing; Time series analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02051nam a2200301 a 4500
001 2032322
005 2020-01-07
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1007/978-3-319-22348-3$2DOI
100 1 $aCHINO, D. Y. T.
245 $aDiscovering frequent patterns on agrometeorological data with TrieMotif.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 16., 2014, Lisbon. Enterprise information systems: ICEIS 2014: revised selected papers. Switzerland: Springer$c2015
300 $ap. 91-107.
490 $a(Lecture notes in business information processing, 227).
500 $aEditores: José Cordeiro, Slimane Hammoudi, Leszek Maciaszek, Olivier Camp, Joaquim Filipe.
520 $aThe "food safety" issue has concerned governments from several countries. The accurate monitoring of agriculture have become important specially due to climate change impacts. In this context, the development of new technologies for monitoring are crucial. Finding previously unknown patterns that frequently occur on time series, known as motifs, is a core task to mine the collected data. In this work we present a method that allows a fast and accurate time series motif discovery. From the experiments we can see that our approach is able to efficiently find motifs even when the size of the time series goes longer. We also evaluated our method using real data time series extracted from remote sensing images regarding sugarcane crops. Our proposed method was able to find relevant patterns, as sugarcane cycles and other land covers inside the same area, which are really useful for data analysis.
650 $aData analysis
650 $aRemote sensing
650 $aTime series analysis
650 $aAnálise de dados
653 $aDados agrometeorológicos
653 $aFrequent motif
653 $aRemote sensing image
653 $aSéries temporais
700 1 $aGONCALVES, R. R. V.
700 1 $aROMANI, L. A. S.
700 1 $aTRAINA JÚNIOR, C.
700 1 $aTRAINA, A. J. M.
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Embrapa Agricultura Digital (CNPTIA) |
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| 1. |  | CARVALHAES, M. A.; CUNHA, G. C. da; GUSSON, E.; VIDAL, C. Y.; GANDARA, F. B. M. A incorporação de bromélias epífitas no processo de restauração de áreas degradadas na mata atlântica: um estudo em Registro, SP. In: CONGRESSO NACIONAL DE BOTÂNICA, 58., 2007, São Paulo. A botânica no Brasil: pesquisa, ensino e políticas públicas ambientais: resumos. São Paulo: Sociedade Botânica do Brasil, 2007. 1 p. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Meio-Norte. |
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| 2. | | RIBEIRO, D. G.; CUNHA, G. C. R. da; SANTOS, C. dos; SILVA, L. P. da; OLIVEIRA NETO, O. B. de; LABUTO, L. B. D.; REIS, A. M. dos. Brassica oleracea resistance-related proteins identified at an early stage of black rot disease. Physiological and Molecular Plant Pathology, v. 104, p. 9-14, 2018. Na publicação: Luciano Paulino Silva e Angela Mehta.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
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