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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/06/2011 |
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Data da última atualização: |
25/07/2011 |
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Autoria: |
LIU, H.; MOTODA, H. (ed.). |
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Afiliação: |
HUAN LIU; HIROSHI MOTODA. |
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Título: |
Computational methods of feature selection. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Boca Raton: Chapman & Hall/CRC, 2008. |
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Páginas: |
419 p. il. |
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Série: |
(Chapman & Hall/CRC data mining and knowlwdge discovery). |
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ISBN: |
978-1-58488-878-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Less Is More. Huan Liu, Hiroshi Motoda. Unsupervised Feature Selection. Jennifer G. Dy. Randomized Feature Selection. David J. Stracuzzi. Causal Feature Selection. Isabelle Guyon, Constantin Aliferis, André Elisseeff. Active Learning of Feature Relevance. Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani. A Study of Feature Extraction Techniques Based on Decision Border Estimate. Claudia Diamantini, Domenico Potena. Ensemble-Based Variable Selection Using Independent Probes. Eugene Tuv, Alexander Borisov, Kari Torkkola. Efficient Incremental-Ranked Feature Selection in Massive Data. Roberto Ruiz, Je_us S. Aguilar-Ruiz, Jo_e C. Riquelme. Non-Myopic Feature Quality Evaluation with (R)ReliefF. Igor Kononenko, Marko Robnik Sikonja. Weighting Method for Feature Selection in K-Means. Joshua Zhexue Huang, Jun Xu, Michael Ng, Yunming Ye. Local Feature Selection for Classification. Carlotta Domeniconi, Dimitrios Gunopulos. Feature Weighting through Local Learning. Yijun Sun. Feature Selection for Text Classification. George Forman. A Bayesian Feature Selection Score Based on Naive Bayes Models. Susana Eyheramendy, David Madigan. Pairwise Constraints-Guided Dimensionality Reduction. Wei Tang, Shi Zhong. Aggressive Feature Selection by Feature Ranking. Masoud Makrehchi, Mohamed S. Kamel. Feature Selection for Genomic Data Analysis. Lei Yu. A Feature Generation Algorithm with Applications to Biological Sequence Classification. Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur. An Ensemble Method for Identifying Robust Features for Biomarker Discovery. Diana Chan, Susan M. Bridges, Shane C. Burgess. Model Building and Feature Selection with Genomic Data. Hui Zou, Trevor Hastie. MenosLess Is More. Huan Liu, Hiroshi Motoda. Unsupervised Feature Selection. Jennifer G. Dy. Randomized Feature Selection. David J. Stracuzzi. Causal Feature Selection. Isabelle Guyon, Constantin Aliferis, André Elisseeff. Active Learning of Feature Relevance. Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani. A Study of Feature Extraction Techniques Based on Decision Border Estimate. Claudia Diamantini, Domenico Potena. Ensemble-Based Variable Selection Using Independent Probes. Eugene Tuv, Alexander Borisov, Kari Torkkola. Efficient Incremental-Ranked Feature Selection in Massive Data. Roberto Ruiz, Je_us S. Aguilar-Ruiz, Jo_e C. Riquelme. Non-Myopic Feature Quality Evaluation with (R)ReliefF. Igor Kononenko, Marko Robnik Sikonja. Weighting Method for Feature Selection in K-Means. Joshua Zhexue Huang, Jun Xu, Michael Ng, Yunming Ye. Local Feature Selection for Classification. Carlotta Domeniconi, Dimitrios Gunopulos. Feature Weighting through Local Learning. Yijun Sun. Feature Selection for Text Classification. George Forman. A Bayesian Feature Selection Score Based on Naive Bayes Models. Susana Eyheramendy, David Madigan. Pairwise Constraints-Guided Dimensionality Reduction. Wei Tang, Shi Zhong. Aggressive Feature Selection by Feature Ranking. Masoud Makrehchi, Mohamed S. Kamel. Feature Selection for Genomic Data Analysis. Lei Yu. A Feature Generation Algorithm with Applications to Biological Sequence Classification. Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur.... Mostrar Tudo |
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Palavras-Chave: |
Data mining; Gerenciamento de base de dados; Métodos computacionais; Mineração de dados; Recuperação da informação; Seleção de padrões. |
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Thesaurus Nal: |
Databases; Information retrieval. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02442nam a2200253 a 4500
001 1891126
005 2011-07-25
008 2008 bl uuuu 00u1 u #d
020 $a978-1-58488-878-9
100 1 $aLIU, H.
245 $aComputational methods of feature selection.
260 $aBoca Raton: Chapman & Hall/CRC$c2008
300 $a419 p. il.
490 $a(Chapman & Hall/CRC data mining and knowlwdge discovery).
520 $aLess Is More. Huan Liu, Hiroshi Motoda. Unsupervised Feature Selection. Jennifer G. Dy. Randomized Feature Selection. David J. Stracuzzi. Causal Feature Selection. Isabelle Guyon, Constantin Aliferis, André Elisseeff. Active Learning of Feature Relevance. Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani. A Study of Feature Extraction Techniques Based on Decision Border Estimate. Claudia Diamantini, Domenico Potena. Ensemble-Based Variable Selection Using Independent Probes. Eugene Tuv, Alexander Borisov, Kari Torkkola. Efficient Incremental-Ranked Feature Selection in Massive Data. Roberto Ruiz, Je_us S. Aguilar-Ruiz, Jo_e C. Riquelme. Non-Myopic Feature Quality Evaluation with (R)ReliefF. Igor Kononenko, Marko Robnik Sikonja. Weighting Method for Feature Selection in K-Means. Joshua Zhexue Huang, Jun Xu, Michael Ng, Yunming Ye. Local Feature Selection for Classification. Carlotta Domeniconi, Dimitrios Gunopulos. Feature Weighting through Local Learning. Yijun Sun. Feature Selection for Text Classification. George Forman. A Bayesian Feature Selection Score Based on Naive Bayes Models. Susana Eyheramendy, David Madigan. Pairwise Constraints-Guided Dimensionality Reduction. Wei Tang, Shi Zhong. Aggressive Feature Selection by Feature Ranking. Masoud Makrehchi, Mohamed S. Kamel. Feature Selection for Genomic Data Analysis. Lei Yu. A Feature Generation Algorithm with Applications to Biological Sequence Classification. Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur. An Ensemble Method for Identifying Robust Features for Biomarker Discovery. Diana Chan, Susan M. Bridges, Shane C. Burgess. Model Building and Feature Selection with Genomic Data. Hui Zou, Trevor Hastie.
650 $aDatabases
650 $aInformation retrieval
653 $aData mining
653 $aGerenciamento de base de dados
653 $aMétodos computacionais
653 $aMineração de dados
653 $aRecuperação da informação
653 $aSeleção de padrões
700 1 $aMOTODA, H.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
10/12/2014 |
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Data da última atualização: |
30/12/2014 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
COSTA, A. M.; LIMA, H. C. de; FALEIRO, F. G. |
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Afiliação: |
ANA MARIA COSTA, CPAC; HERBERT CAVALCANTE DE LIMA, CPAC; FABIO GELAPE FALEIRO, CPAC. |
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Título: |
Avances y perspectivas de la agroindustria en Brasil. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: CONGRESO LATINOAMERICANO DE PASSIFLORA, 1., 2013, Neiva, Colombia. Libro de Memorias... Neiva: CEPASS HUILA, 2013. |
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Idioma: |
Português |
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Palavras-Chave: |
Agroindustria; Aproveitamento da planta; Passion fruit. |
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Thesagro: |
Maracuja. |
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Thesaurus NAL: |
Agricultural industry; Brazil; Passiflora. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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Marc: |
LEADER 00653naa a2200217 a 4500
001 2002229
005 2014-12-30
008 2013 bl --- 0-- u #d
100 1 $aCOSTA, A. M.
245 $aAvances y perspectivas de la agroindustria en Brasil.
260 $c2013
650 $aAgricultural industry
650 $aBrazil
650 $aPassiflora
650 $aMaracuja
653 $aAgroindustria
653 $aAproveitamento da planta
653 $aPassion fruit
700 1 $aLIMA, H. C. de
700 1 $aFALEIRO, F. G.
773 $tIn: CONGRESO LATINOAMERICANO DE PASSIFLORA, 1., 2013, Neiva, Colombia. Libro de Memorias... Neiva: CEPASS HUILA, 2013.
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