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.…

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…

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…

The aim of this work is to analyze the knowledge interchange on multi-agent systems using shared knowledge areas. The project involves the analysis and reformulation of some aspects of the Linda model, adding new model level features. This work proposes…

The article describes the proposition and implementation of a demonstration, learning and decision support system for the resolution of combinatorial optimization problems under multiple objectives. The system brings together two key aspects of higher education: research and teaching. It allows…

The aim of this work is to present a data mining application to software engineering. We describe the use of data mining in some parts of the design process of a dynamic decision support system agent-based architecture. The main function…