Data/hora: 12/06/2024 05:29:17

Biblioteca(s): 	Embrapa Unidades Centrais.	
Data corrente: 	05/01/2011	
Data da última atualização: 	17/02/2011	
Autoria: 	SANTOS, G. M. F. dos; FERNEDA, E.; PRADO, H. A. do.	
Afiliação: 	HERCULES ANTONIO DO PRADO, SGE.	
Título: 	Social proactivity recognition by means of combinatorial neural model.	
Ano de publicação: 	2010	
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.	
Idioma: 	Português	
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.	
Palavras-Chave: 	Mineração de dados; Rede neural combinatória.	
Thesagro: 	Desenvolvimento social.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (48642-1) - UPC - AA - PP -  -  -  - DIS