This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

The genetic algorithms have seen applied in knowledge discovery and specially for discovering association rules. In this paper, we explore the use of di erent rule quality measures in the tness function in a genetic algorithm for discovering association rules.…

Este trabajo tiene por objetivo desarrollar modelos de redes neuronales artificiales (RNA) para analizar la incidencia de los conocimientos matemáticos previos de los alumnos ingresantes a la carrera de Bioquímica de la FACENA-UNNE, en su rendimiento académico en el primer…