Avaliação de Ferramentas de Apoio ao Ensino de Técnicas de Mineração de Dados em Cursos de Graduação

• José Viterbo UFF
• Clodis Boscarioli UNIOESTE
• Flavia Cristina Bernardini UFF
• Mateus Felipe Teixeira UNIOESTE

DOI: https://doi.org/10.5753/wei.2016.9644

Abstract

The labor market requires more and more professionals with analytical sense to handle large data sets to produce useful knowledge for decision making. The data mining process (DM) is among the key concepts of knowledge discovery and involves the use of different machine learning algorithms applied to extract new standards in databases, commonly supported by tools that implement these different algorithms. The use of DM tools by undergraduate students is essential for them to acquire practical experience. It is done in courses such as Artificial Intelligence, Data Mining or other, addressing machine learning techniques. This study evaluates different tools used in DM teaching, in order to offer teachers a guide in the selection and use of these tools from the point of view of usability, measured by undergraduate students in the discovery and understanding of associated knowledge.

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