Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In…

This paper describes an approach to On Line Analytical Processing (OLAP), expresed in the declarative programming paradigm.
We define a collection of functions that capture some of the functionality currently provided by multidimensional database product. This is done by defining…

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…

E-mail texts are hard to process due to their short length. In this article, the use of a diffuse neural network that is capable of identifying the most relevant terms in a set of e-mails is proposed. The associations between…

Resumen de la tesis del autor para obtener el grado de Magister en Redes de Datos de la Facultad de Informática de la UNLP, dirigida por Luis Armando Marrone.