The concept of “approximate” searching has applications in a vast number of fields. Some examples are non-traditional databases (e. g. storing images, fingerprints or audio clips, where the concept of exact search is of no use and we search instead…

Este artículo documenta los principales patrones y tendencias de las definiciones alternativas de la informalidad laboral en América Latina y el Caribe, mediante la utilización de una gran base de datos de más de 100 encuestas de hogares para el…

Este documento explora la relación entre la distribución del ingreso, las instituciones y los conflictos en América Latina y el Caribe mediante el uso de una nueva base de datos de estadísticas de la distribución del ingreso calculado a partir…

Vertical partitioning, in which attributes of a relation are
assigned to partitions, is aimed at improving database
performance. We extend previous research that is based on
a single relation to multi-relation database environment,
by including referential integrity constraints, access time

Data base management evolved during the sixties and seventies. The evolution period was protracted. Many driving forces impacted the evolution and it is the aim of this paper to analyze these driving forces (some technical and some political) and to…

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…

In today’s world, in both the public or private organizations, there exists the problem that the organizations have to create value, are changing, but the tools to measure them are not. On the other hand, in the current economy, the…

Software engineering has entered a new era, the Internet and its associated technologies require a different conceptual framework for building and understanding software solutions.
Users ask to develop applications more rapidly, and software engineers need to ensamble systems from preexisting…

This paper presents a data structure based on Sparse Spatial Selection (SSS) for similarity searching. An algorithm that tries periodically to adjust pivots to the use of database index is presented. This index is dynamic. In this way, it is…

In cases of extremely imbalanced dataset with high dimensions, standard machine learning techniques tend to be overwhelmed by the large classes. This paper rebalances skewed datasets by compressing the majority class. This approach combines Vector Quantization and Support Vector Machine…