Alsodes pehuenche es una especie endémica del Valle Pehuenche, en los An- des centrales de la Argentina, en el límite con Chile. Su biología es pobremente conocida y, en consecuencia, ha sido incluida en la categoría de Datos Insuficientes por…

Framework comprehension is a very limiting factor to take full advantage of the benefits that frameworks offer to increase quality and productivity in software development. In this paper, a reverse engineering approach to framework comprehension using the MetaExplorer tool is…

La obtención de conocimiento a partir de la información existente es un proceso no trivial que consiste en identificar patrones válidos, novedosos, potencialmente útiles y comprensibles a partir de los datos disponibles. La Minería de Datos es el área de…

La soja [(Glycine max L.) Mer.] puede sembrarse en una amplia zona del país en Argentina. Los ensayos comparativos de rendimiento, normalmente se realizan en 3 zonas agroecológicas: Norte, Pampeana Norte y Pampeana Sur. El análisis y la interpretación de…

When there is a need to understand the data stored in a database, one of the main requirements is being able to extract knowledge in the form of rules. Classification strategies allow extracting rules almost naturally. In this paper, the…

Metric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index which has shown to be competitive answering this type…

Minimization of query execution time is an important performance objective in distributed databases design. While total time is to be minimized for On Line Transaction Processing (OLTP) type queries, response time has to be minimized in Decision Support type queries.…

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 se concentra en explorar los efectos potenciales de la educación media y el ambiente familiar sobre los resultados laborales de las jóvenes en Argentina. En particular, interesa la condición laboral, la calidad del empleo y los salarios. El…