Data integration is the process of unifying data sharing some common semantics but are originated from unrelated sources. In our work we consider these sources are autonomous, heterogeneous and they are physically distributed. These three characteristics make the integration task…

Using COTS software promises faster time-to-market, which can yield substantial advantages over competitors with regards to earlier placement of a new product on a market. At the same time, component-based software introduces risks, such as unknown quality properties of the…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

The evaluation of metric of performance is useful in the evaluation of protocols, in the improvement of applications, in the content choice, among others. The obtaining of these metrics, it continues being a complex task because most of the time…

Previous work in software product lines showed an increment of up to 10 times in productivity and product quality [SEI Prod_Line]; because of this, the software product line approach is critical for the success of a development project including a…

This paper shows models of data description that incorporate uncertainty like models of data extension EER, IFO among others. These database modeling tools are compared with the pattern FuzzyEER proposed by us, which is an extension of the EER model…

En la superficie de vehículos, tales como aviones, automóviles y trenes, las cavidades abiertas son una importante fuente de ruido generado aerodinámicamente, de aumento de la resistencia y de peligrosas fluctuaciones de presión. Diversos métodos han sido probados para suprimir…

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,…