Utilizando o processo automático de descoberta de conhecimento para caracterização do perfil das submissões dos pesquisadores do Instituto Federal de Sergipe: um estudo de caso sobre dados do congresso Norte-Nordeste de pesquisa e inovação

Abstract

In ascending development in Brazil, research activity is becoming more common in everyday life of educational institutions in the country. This way the Federal Institute of Science and Technology Education has adequate its reality to attend this demand through which passes society. Because after the transformation that occurred by technical and technological education in Brazil, through the conversion of Federal Center of Technology Education to Federal Institute of Science and Technology Education, realized the need to strengthen the research development in institution, focused on the formation of labor. So the Federal Government made investments in encouraging research activities programs. In the Federal Institute of Sergipe (IFS) we can mention the application of resources in important institutional programs as the Institutional Program of Initiation Scholarships in Technology and Innovation (PIBIC) and the Institutional Program of Support to Activity Research of Administrative Technician (PPTA). So this dissertation, through of Knowledge-Discovery in Databases (KDD) by means of the clustering algorithm, x-means, proposes by using of the database of evaluations of submitted scientific paper to VI CONNEPI (VI North Northeast Research and Innovation Congress), ocurred in 2011, a model to profile of submitted scientific paper in this congress to researchers of IFS and other researchers of Federal Institute of Science and Technology Education in Brazil. The essential approach is that, through the obtained models, a comparative analysis is performed with the objective to map features of the researchers these institutions and propose actions to the aid to decision-making to IFS, performed by Pró-Reitoria de Pesquisa e Inovação (PROPEX).