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…

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,…

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…

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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…

AbstractDue to aspect-oriented mechanisms explosion, their concepts arrive to distributed systems tackling concepts as security, persistence, or synchronization, especially in middleware approaches. Regarding distributed databases, the research has been focused mainly on object-oriented databases. Based on the great impact of…

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 k nearest neighbor (k-NN) classifier has been extensively used in Pattern Recognition because of its simplicity and its good performance. However, in large datasets applications, the exhaustive k-NN classifier becomes impractical. Therefore, many fast k-NN classifiers have been developed;…

Describes dic nature and development of interbehavioral psychology, with particular reference to its origin, postulation, data, operations, laws, asid implications., Describe la naturaleza y desarrollo de la psicologi’a interconductural, con peticular referencia a su origen, postulación, datos, operaciones, leyes e…