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Este trabajo aporta nuevas evidencias sobre el impacto de las reformas comerciales sobre los salarios. En primer lugar, se introduce un modelo de comercio que combina un mecanismo de fijación de salarios no competitivo debido a la existencia de sindicatos,…

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…

Los programas de pensiones latinoamericanos tienen baja cobertura. Utilizando paneles de registros administrativos de Argentina, Chile y Uruguay, caracterizamos las historias de contribución de la población. Construimos tres indicadores: densidad de cotización, tasas de transición y duración de los períodos…

The name Lavatera x columbretensis, recently proposed for a hybrid growing in the Columbretes Archipelago (Castellón, E of Spain), is transferred to Malva. Additional data on nomenclature of other related taxa of ‘L. sect. Anthema’ and ‘L. sect. Axolopha’, are…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

The genetic algorithms have seen applied in knowledge discovery and specially for discovering association rules. In this paper, we explore the use of di erent rule quality measures in the tness function in a genetic algorithm for discovering association rules.…

Manipulating and retrieving multimedia data has received increasing attention with the advent of cloud storage facilities. The ability of querying by similarity over large data collections is mandatory to improve storage and user interfaces. But, all of them are expensive…

Clustering of short texts is an important research area because of its applicability in information retrieval and text mining. To this end was proposed CLUDIPSO, a discrete Particle Swarm Optimization algorithm to cluster short texts. Initial results showed that CLUDIPSO…