Este trabajo discute la aplicación de diferentes técnicas para determinar las propiedades estacionales de datos trimestrales. En particular, enfocamos el test de Hylleberg et al. y los estadísticos propuestos por Canova y Hansen y los aplicamos a una serie microeconómica.…

Aunque la gatifloxacina ha sido usada en la clínica por algunos años, no son frecuentes los estudios pre-clínicos de este antibió- tico. El objetivo de este trabajo fue determinar los parámetros farmacocinéticos en plasma de la gatifloxacina en ratas después…

Metric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index which has shown to be competitive answering this type…

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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Most search methods in metric spaces assume that the topology of the object collection is reasonably regular. However, there exist nested metric spaces, where objects in the collection can be grouped into clusters or subspaces, in such a way that…

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as…