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…

The development of a data warehouse (DW) system is based on a conceptual multidimensional model, which provides a high level of abstraction in accurately and expressively describing real-world situations. Once this model is designed, the corresponding logical representation must be…

Design and optimization of distillation columns for ethanol dehydration, using a hydrocarbon as entrainer, implies a good knowledge of vapor-liquid (VLE), liquid-liquid (LLE) and vapor-liquid-liquid equilibrium (VLLE). Chemical process simulation programs always require the use of a thermodynamic model that…

Magnetic Resonance Imaging (MRI) is an important diagnostic imaging tool that has
seen rapid expansion in recent years with a commensurate increase in the number of
radiographers undertaking MRI scans. This imaging modality is a complex one and the strong

Recently, existing design methodologies targeting traditional Web applications have been extended for Rich Internet Application modeling support. These extended methodologies currently cover the traditionally well-established design concerns, i.e. data and navigation design, and provide additional focus on user interaction and…

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…

The study investigates the process of recovery for people diagnosed with personality disorder. This is related to the application of the new meaning of recovery from mental illness as explored by members of The Haven which, as the service setting…

Descripción completa.

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…

This dissertation presents a model of the knowledge a person has about the spatial structure of a large-scale environment: the "cognitive map". The functions of the cognitive map are to assimilate new information about the environment, to represent the current…