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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
13/04/2016 |
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Data da última atualização: |
13/04/2016 |
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Autoria: |
DELFA, R.; TEIXEIRA, A.; GONZALEZ, C.; CADAVEZ, V.; SIERRA, I. |
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Título: |
Use of Ultrasound measurements for predicting body fat depots in live goats. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON GOATS, 7., 2000, Tours, Poitiers, France. Proceedings... Paris: INRA: IGA: Institut de Elevage, 2000. v. 2, p. 835. |
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ISBN: |
2841480399 |
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Idioma: |
Inglês |
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Conteúdo: |
Table 1. Percentage variation (R2) and residual standard deviation (RSD) of body and carcass fat depots (g) accounted for by ultrasonic measurements; Table 2. Regression equations between body fat depots and ultrasonic measurements. |
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Palavras-Chave: |
Animal fats; Carcasses; Ganho de peso vivo; Medida; Ultra-Som; Ultrasound. |
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Thesagro: |
Caprino; Carcaça; Gordura animal. |
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Thesaurus Nal: |
Goats; Measurement; Weight gain. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 01139naa a2200325 a 4500
001 2043243
005 2016-04-13
008 2000 bl uuuu u00u1 u #d
020 $a2841480399
100 1 $aDELFA, R.
245 $aUse of Ultrasound measurements for predicting body fat depots in live goats.
260 $c2000
520 $aTable 1. Percentage variation (R2) and residual standard deviation (RSD) of body and carcass fat depots (g) accounted for by ultrasonic measurements; Table 2. Regression equations between body fat depots and ultrasonic measurements.
650 $aGoats
650 $aMeasurement
650 $aWeight gain
650 $aCaprino
650 $aCarcaça
650 $aGordura animal
653 $aAnimal fats
653 $aCarcasses
653 $aGanho de peso vivo
653 $aMedida
653 $aUltra-Som
653 $aUltrasound
700 1 $aTEIXEIRA, A.
700 1 $aGONZALEZ, C.
700 1 $aCADAVEZ, V.
700 1 $aSIERRA, I.
773 $tIn: INTERNATIONAL CONFERENCE ON GOATS, 7., 2000, Tours, Poitiers, France. Proceedings... Paris: INRA: IGA: Institut de Elevage, 2000.$gv. 2, p. 835.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
25/11/2008 |
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Data da última atualização: |
31/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
NOGUEIRA, B. M.; MOURA, M. F.; CONRADO, M. da S.; ROSSI, R. G.; MARCACINI, R. M.; REZENDE, S. O. |
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Afiliação: |
BRUNO MAGALHÃES NOGUEIRA, USP; MARIA FERNANDA MOURA, CNPTIA; MERLEY DA SILVA CONRADO, USP; RAFAEL GERALDELI ROSSI, USP; RICARDO MARCONDES MARCACINI, USP; SOLANGE OLIVEIRA REZENDE, USP. |
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Título: |
Winning some of the document preprocessing challenges in a text mining process. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS, 23.; SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SOFTWARE, 22.; WORKSHOP EM ALGORITMOS E APLICAÇÕES DE MINERAÇÃO DE DADOS, 4., 2008, Campinas. Anais... Campinas: UNICAMP, Instituto de Computação, 2008. |
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Páginas: |
p. 10-18. |
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Idioma: |
Inglês |
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Conteúdo: |
Considering the huge growth of the number of documents in the digital universe and the possibility of obtaining some competitive advantage in processing them, this paper describes some of the difficulties of working with text collections. More specifically, it shows some of the challenges on the step considered one of the most important of the Text Mining process - the data preprocessing - focusing on two of its main tasks: attribute generation and selection, considering not only single terms but composed terms too. In order to overcome the challenges imposed by these problems, this paper presents efficient unsupervised solutions. The application of these solutions in three real data sets is presented in order to evaluate them and to show a way to treat the data step by step. Good results were obtained at the end of the whole process. |
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Palavras-Chave: |
Dados semânticos; Mineração de textos; Text mining. |
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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/80367/1/winning.pdf
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Marc: |
LEADER 01679nam a2200217 a 4500
001 1005283
005 2020-01-31
008 2008 bl uuuu u00u1 u #d
100 1 $aNOGUEIRA, B. M.
245 $aWinning some of the document preprocessing challenges in a text mining process.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS, 23.; SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SOFTWARE, 22.; WORKSHOP EM ALGORITMOS E APLICAÇÕES DE MINERAÇÃO DE DADOS, 4., 2008, Campinas. Anais... Campinas: UNICAMP, Instituto de Computação$c2008
300 $ap. 10-18.
520 $aConsidering the huge growth of the number of documents in the digital universe and the possibility of obtaining some competitive advantage in processing them, this paper describes some of the difficulties of working with text collections. More specifically, it shows some of the challenges on the step considered one of the most important of the Text Mining process - the data preprocessing - focusing on two of its main tasks: attribute generation and selection, considering not only single terms but composed terms too. In order to overcome the challenges imposed by these problems, this paper presents efficient unsupervised solutions. The application of these solutions in three real data sets is presented in order to evaluate them and to show a way to treat the data step by step. Good results were obtained at the end of the whole process.
653 $aDados semânticos
653 $aMineração de textos
653 $aText mining
700 1 $aMOURA, M. F.
700 1 $aCONRADO, M. da S.
700 1 $aROSSI, R. G.
700 1 $aMARCACINI, R. M.
700 1 $aREZENDE, S. O.
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Embrapa Agricultura Digital (CNPTIA) |
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