Data base management evolved during the sixties and seventies. The evolution period was protracted. Many driving forces impacted the evolution and it is the aim of this paper to analyze these driving forces (some technical and some political) and to…

This paper shows models of data description that incorporate uncertainty like models of data extension EER, IFO among others. These database modeling tools are compared with the pattern FuzzyEER proposed by us, which is an extension of the EER model…

The Web has became an obiquitous resource for distributed computing making it relevant to investigate new ways of providing efficient access to services available at dedicated sites. Efficiency is an ever-increasing demand which can be only satisfied with the development…

In cases of extremely imbalanced dataset with high dimensions, standard machine learning techniques tend to be overwhelmed by the large classes. This paper rebalances skewed datasets by compressing the majority class. This approach combines Vector Quantization and Support Vector Machine…

El objetivo de este artículo es examinar la relación existente entre la volatilidad de la tasa de cambio y el volumen de exportaciones, usando datos brasileños. Después de establecer la existencia de cointegración entre las variables incluidas en nuestro modelo,…

Este trabajo tiene como objetivo estimar la forma reducida de una función de oferta agropecuaria de la economía argentina en el marco de un modelo de equilibrio general. Los resultados de la estimación de la oferta agropecuaria con datos que…

Proponemos un modelo de interdependencia general lineal para la economía mundial, y utilizamos datos de la División Estadística de las Naciones Unidas para estimar sus parámetros. Esto nos permite evaluar la propagación de un shock exógeno a los gastos autónomos…

In a scene where stakeholders are geographically distributed, communication presents new challenges for research areas. Considering the characteristics of interpersonal communication and the virtual area where it is carried out, the importance of applying interdisciplinary approaches, such as Cognitive Engineering,…

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…