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 ot…

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…

Descoberta de Conhecimento em Bases de Dados" ("Knowledge Discovery in Databases", KDD) é um processo composto de várias fases iniciando com a coleta de dados para o problema e finalizando com a avaliação dos resultados finais. Este trabalho objetiva mostrar…

“La tecnología KDD está basada en un bien definido proceso KDD de múltiples pasos, para el descubrimiento de conocimiento en grandes colecciones de datos. El proceso KDD es iterativo por naturaleza, y depende de la interacción para la toma de…

Over the last several years, multidimensional data modeling has had several proposals for its formalisation; on the other hand, the incorporation of fuzzy logic in databases has increased the need to represent uncertainty.
However, to our knowledge, so far projects…

La sistematización del proceso de minería de datos es un punto importante para la planificación y ejecución de este tipo de proyecto. Algunas organizaciones implementan el proceso KDD, mientras que otras aplican un estándar más específico como CRISP-DM. Si la…