01352nam a2200169 a 450000100080000000500110000800800410001910000250006024500750008526002100016052006940037065000270106465300250109165300300111670000160114670000200116218715942011-02-17       2010    bl uuuu     u00u1 u    #d1 aSANTOS, G. M. F. dos  aSocial proactivity recognition by means of combinatorial neural model.  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  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.  aDesenvolvimento social  aMineração de dados  aRede neural combinatória1 aFERNEDA, E.1 aPRADO, H. A. do