An Electronic Government Procurement (e-GP) project, as most of complex software systems development and implantation, requires sophisticated and strong managerial concepts and skills. So, an effective and consistent managerial framework is needed.
Traditional project management models, that propose a series…

There is a lot of information published on the Web that can be useful for decision-making.
The work reported in this paper focuses on how to extract and integrate this information in order to construct a Data Warehouse that makes…

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…

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.…

Este trabajo documenta el impacto de las recientes crisis en Argentina sobre diferentes aspectos de la pobreza, con particular atención en la crisis económica de 2002. Discutimos la metodología de medición de pobreza en Argentina y utilizamos una regla simple…

The fact that nutrition affects education outcomes is accepted by researchers and by policy makers. It is simple. Children cannot learn if they are hungry. The validity of the empirical approaches used to show a causal relationship from nutrition to…

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…

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…