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…

El clustering de documentos es un campo de investigación popular en los ámbitos del Procesamiento del Lenguaje Natural, la Minería de Datos y la Recuperación de información (RI). El problema de agrupar unidades léxicas mediante clustering ha sido menos estudiado…

Objetivo: El objetivo de esta revisión de la literatura es examinar qué se ha publicado sobre variabilidad de la práctica clínica desde el enfoque de la enfermería. Métodos: Se realizó una búsqueda bibliográfica en las principales bases de datos internacionales…

The Semantic Web attempts to reach a state in the future where everything on the Web will no longer be only machine-readable, but also machine-understandable. An ontology is an explicit specification of a conceptualization. A conceptualization is an abstract, simplified…

Using COTS software promises faster time-to-market, which can yield substantial advantages over competitors with regards to earlier placement of a new product on a market. At the same time, component-based software introduces risks, such as unknown quality properties of the…

This paper presents a data structure based on Sparse Spatial Selection (SSS) for similarity searching. An algorithm that tries periodically to adjust pivots to the use of database index is presented. This index is dynamic. In this way, it is…

Las poblaciones de altura se desarrollan en ambientes determinados por la disminución de la presión de oxígeno en el aire, a la que se suman características climáticas extremas, como intensa radiación solar, bajas temperaturas con gran amplitud térmica, extremada aridez…

Nowadays, data intensive applications are in constant demand and there is need of computing environments with better intelligent capabilities than those present in today's Database Management Systems (DBMS). To build such systems we need formalisms that can perform complicate inferences,…

An important problem in Mineralogy, is to accomplish an adequate representation of a great amount of data coming from different geological environments, in order to characterize a particular geologic region in terms of its tectonic setting. With such Databases of…

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