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…

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…

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…

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…

The main purpose of this book is to present the contents of an introductory course in databases. In this regard, one can find a number of material validity and recognized different scopes. This work is developed under the guidelines that…

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…