O projeto da rede corporativa de uma empresa requer que sejam bem conhecidas as características, necessidades e tendências de evolução do seu ambiente de informática, as tecnologias e tipos de equipamentos de rede disponíveis no mercado e como tais tecnologias…

In this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is introduced, as the action of applying particular scientific conjectures…

Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. Inside this one, the notion of reduct is a very significant one, but to obtain a reduct in a decision system is an expensive computing…

This paper introduces an automatic procedure to assist on the interpretation of a large dataset when a similarity metric is available.
We propose a visualization approach based on a graph layout method- ology that uses a Quadratic Assignment Problem (QAP)…

Co-training can learn from datasets having a small number of labelled examples and a large number of unlabelled ones. It is an iterative algorithm where examples labelled in previous iterations are used to improve the classification of examples from the…

Los repositorios institucionales son depósitos de archivos digitales de diferentes tipologías para accederlos, difundirlos y preservarlos. Este artículo tiene como propósito explicar la importancia de los repositorios en el ámbito académico de la Ingeniería como una manera de democratizar el…

Current reasoning systems attempt to model an agent's knowledge and interaction with its environment in a symbolic manner. This environment, its world is generally dynamic and changing due to natural evolution or the actions of other agents that are a…

The purpose of this paper is to describe how some theorems about constructions in categories can be seen as a way of doing generic programming. No prior knowledge of category theory is required to understand the paper.
We explore the…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

We have developed a distributed DSS able to work in a dynamic way. This system is based on the use of mobile agents, which receive the user's queries and visit the DSS domains gathering the required information. One of the…