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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
05/01/2011 |
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Data da última atualização: |
17/02/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANTOS, G. M. F. dos; FERNEDA, E.; PRADO, H. A. do. |
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Afiliação: |
HERCULES ANTONIO DO PRADO, SGE. |
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Título: |
Social proactivity recognition by means of combinatorial neural model. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE, 10., 2010, Saint Petersburg, Russia. Parttern recognition and image analysis: new information technologies: PRIA-10-2010. Saint Petersburg: Politechnika, 2010. p. 29-33. |
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Idioma: |
Português |
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Conteúdo: |
Human beings are autopoietic organisms that live in a structural, natural, social, cultural and linguistic coupling. The proactive agent in relation to the social environment and for himself was studied, starting with the concept of habitus in a Bourdieusian approach. The paper reports a data mining application for understanding the student view on her/his social role. CRISP-DM method and combinatorial neural network were applied to obtain patterns from a socioeconomic survery and texts written during the selectin for entering the undergraduate courses. It aims to subsidize educators and managers of educational institutions in decision making with information on students' profile. |
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Palavras-Chave: |
Mineração de dados; Rede neural combinatória. |
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Thesagro: |
Desenvolvimento social. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01352nam a2200169 a 4500
001 1871594
005 2011-02-17
008 2010 bl uuuu u00u1 u #d
100 1 $aSANTOS, G. M. F. dos
245 $aSocial proactivity recognition by means of combinatorial neural model.
260 $aIn: INTERNATIONAL CONFERENCE, 10., 2010, Saint Petersburg, Russia. Parttern recognition and image analysis: new information technologies: PRIA-10-2010. Saint Petersburg: Politechnika, 2010. p. 29-33.$c2010
520 $aHuman beings are autopoietic organisms that live in a structural, natural, social, cultural and linguistic coupling. The proactive agent in relation to the social environment and for himself was studied, starting with the concept of habitus in a Bourdieusian approach. The paper reports a data mining application for understanding the student view on her/his social role. CRISP-DM method and combinatorial neural network were applied to obtain patterns from a socioeconomic survery and texts written during the selectin for entering the undergraduate courses. It aims to subsidize educators and managers of educational institutions in decision making with information on students' profile.
650 $aDesenvolvimento social
653 $aMineração de dados
653 $aRede neural combinatória
700 1 $aFERNEDA, E.
700 1 $aPRADO, H. A. do
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Embrapa Unidades Centrais (AI-SEDE) |
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| Registros recuperados : 10 | |
| 10. |  | JESUS, K. R. E. de; TORQUATO, S. A.; MACHADO, P. G.; ZORZO, C. R. B.; CARDOSO, B. O.; LEAL, M. R. L. V.; PICOLI, M. C. A.; RAMOS, R. C.; DALMAGO, G. A.; CAPITANI, D. H. D.; DUFT, D. G.; SUÁREZ, J. G.; PIEROZZI JUNIOR, I.; TREVELIN, L. C.; MOREIRA, D. A. Sustainability assessment of sugarcane production systems: SustenAgro Decision Support System. Environmental Development, v. 32, p. 1-16, Dec. 2019. Article 100444| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
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