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.

In this paper, we present a UML profile and a group of UML patterns for documenting the component-and-connector views of software architectures [8]. They facilitate the creation of the component and connector viewtype in any UML 2.0 tool with a…

The general objective of this thesis is the development of an adaptive technique for extracting knowledge in large databases. Nowadays, technology allows storing huge volumes of information. For this reason, the availability of techniques that allow, as a first stage,…

Today software solutions are often modeled using UML. Design patterns are frequently instantiated within these particular solutions. However, in several situations, UML is not expressive enough to describe them properly.
UML profiles extend UML syntax and semantic in order to…