Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those…

A gestão do conhecimento abrange toda a forma de gerar, armazenar, distribuir e
utilizar o conhecimento, tornando necessária a utilização de tecnologias de informação
para facilitar esse processo, devido ao grande aumento no volume de dados. A
descoberta de conhecimento…

Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

In the past few years, improvements in the data acquisition technology have decreased the time interval of data gathering. Consequently, institutions have stored huge amounts of data such as climate time series and remote sensing images. Computational models to filter,…

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 modelo KDD, mientras que otras aplican un estándar más específico como CRISP-DM. Si la…

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…

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…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

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…