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Resumo: As crescentes demandas por profissionais da area tecnica no mercado acarretarao em gargalo de mao de obra especializada nos proximos anos. O avanco do sistema produtivo que gera estes postos de trabalho iniciou um processo de valorizacao da educacao profissional e tecnologica por parte do governo. Como ainda sao escassas as pesquisas na area, o presente estudo analisa e descreve o perfil profissional dos alunos e egressos de cursos tecnicos do Instituto Federal Fluminense, dos campi Campos-Centro, Campos-Guarus e Macae que realizaram ou estao realizando o estagio. A tecnica de data mining e a principal etapa da descoberta de conhecimento em banco com grande volume de dados. Para analise e tratamento analitico, adota-se o algoritmo C4.5 implementado pelo software WEKA. Conclui-se, por meio da interpretacao dos resultados, que o estagio se apresenta como um caminho eficiente de inclusao do jovem no mundo do trabalho e que os cursos tecnicos analisados sao de qualidade. Por outro lado, e necessario fomentar as aulas praticas e acompanhar a experiencia de estagio, e a partir destas acoes, tracar estrategias educativas continuas para o alinhamento do ensino com a realidade do mercado. P alavras-chave : Educacao Profissional. Mineracao de Dados. Estagio profissional. Mercado de Trabalho. STUDENTS' AND ALUMNI'S PROFILES ANALYSIS THROUGH THE DATA MINING TECHNIQUE: A CASE STUDY IN THE FLUMINENSE FEDERAL INSTITUTE Abstract: The growing demands for technical professionals in the market will lead to a skilled labor bottleneck in the coming years. The production system advancement that generates these jobs began a process of valuing vocational and technological education by the government. As yet there is little research in this area, this study describes and analyzes the professional profiles of the alumni of technical courses in the Federal Institute in Rio de Janeiro State Interior of the campi Campos-Centro, Guarus and Macae that performed or are performing the internship. The data mining technique is the main step of knowledge discovery in database with a large volume of data. For analysis and analytical treatment, the C4.5 algorithm implemented by the WEKA software has been adopted. It is concluded, through the results interpretation, that the internship appears as an efficient way for the inclusion of youth in the labor market and that the technical courses analyzed have quality. On the other hand, it is necessary to promote the practical classes and to monitor the internship experience, and from these actions, strategize continuous education for the alignment of teaching with the market reality. Keywords: Professional education. Data mining. Internship. Labor market.

Análise do perfil de aluno e egresso de cursos técnicos por meio de data mining: estudo de caso no Instituto Federal Fluminense