Numerical Taxonomy aims to group in clusters, using so-called structure analysis of operational taxonomic units (OTUs or taxons or taxa) through numerical methods.
These clusters constitute families. Structural analysis, based on their phenotypic characteristics, exhibits the relationships, in terms of…

The aim of this study is to understand the suffering of a patient with an illness, by using a secondary research method, that is, a qualitative meta-study. The primary data source of the meta-study includes “biographical reports”. This project is…

The paper presents a case study illustrating a collaborative problem solving process in Virtual Communities of Practice. The process relies on the existence of an underlying shared knowledge base – a repository of resources, and is carried out collaboratively by…

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…

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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…

Los así denominados Phone Log-Likelihood Ratios (PLLR), han sido introducidos como características alternativas a los MFCC-SDC para sistemas de Reconocimiento de la Lengua (RL) mediante iVectors. En este artículo, tras una breve descripción de estas características, se proporcionan nuevas evidencias…