Aplicação de mineração de dados na descoberta de perfis de alunos de uma escola de ensino público

• Autor(a) principal: Silva, Angélyca Lanynne Santos
• Data de Publicação: 2017
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/handle/123456789/42865
• topic: alunos; ferramenta WEKA; mineração de dados; escola

The public schools are challenged to do a quality education, since each day problems arise in the student of public education. Data Mining Uncovers Knowledge in a Database. Data mining by discovering knowledge in a database can be applied in education, allowing management and pedagogical coordination to improve the quality of the teaching and learning process. This paper presents a study in a public school, using mining techniques to identify student profiles. As part of the theoretical references, we have studied concepts about school learning, data mining, its techniques and algorithms, as well as the search of works related to the theme, where we choose the WEKA tool to apply the association technique in the data set, provide by the school where the research was applied. The data obtained by the school and converted into the format required by WEKA, applying the mining technique. Results were significantly achieved through data provided for external and internal evaluations of the school, revealing information that was unnoticed and important for better student learning.