La creciente cantidad de imágenes transmitidas a través de Internet ha llevado al desarrollo de Sistemas de Minería de Imágenes de propósito general.
La performance de un SMI depende en gran medida de una rápida y buena especificación del vector…

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

This paper is an attempt to define how a
specific data structure might be used to
store, in a persistent manner, temporal
information during a computer simulation.
In particular, it considers the sort of
temporal information generated during a
discrete…

Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, called Sparse Spatial Selection (SSS).
The main characteristic of this method is that it…

The metric spaces model formalizes the similarity search concept in nontraditional databases. The goal is to build an index designed to save distance computations when answering similarity queries later. A large class of algorithms to build the index are based…

Se realizó el estudio termoanalítico del atenolol puro y de comprimidos comerciales utilizando técnicas de termogravimetría (TG) y calorimetría diferencial de barrido (DSC). El método no isotérmico fue empleado para determinar los datos cinéticos del proceso de descomposición. Para evaluar…

In situ hybridization (ISH) method allows to reveal specific genes expression, identify specific cell types and detect areas or tissues, displaying differential gene expression. This work describes a standardized procedure of digital image processing that allows detailed analyses of ISH…

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…

The aim of this work was to identify the characteristics of the drug information provided by the Drug Information Center (DIC) of a university hospital. A cross-sectional study was conducted, identifying the profile of information requests (IRs) from January 2008…