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 ot…

La explotación de información es un elemento fundamental de un proceso más amplio que tiene como objetivo el descubrimiento de conocimiento en grandes bases de datos [Fayyad et al., 1996; Britos et al., 2005], en inglés “Knowledge Discovery in Databases”…

We faced with a society identified as a knowledge society, characterized by the rapid development of scientific and technological knowledge, the trends to new ways of working, studying, creating and sharing knowledge, is seen in organizations, and particularly in the…

This paper provides lessons learned and some unexpected transformations in the learning process when advanced collaboration technology was used to overcome limitations of a popular, existing collaboration technology. The activities pursued in these advanced undergraduate and graduate computer and information…

The analysis and classification of seeds are essential activities contributing to the final added value in the crop production. Besides varietal identification and cereal grain grading, it is also of interest in the agricultural industry the early identification of weeds…

In this work we analyze the problem of incorporating specificity to characterize defeat in a particular argumentative framework, called observation based defeasible logic programming (ODeLP) [1]. Eficiency is an important issues in ODeLP, since this framework has been de ned…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

Distance learning courses need intensive planning that, in turn, requires the integration of knowledge and expertise in different areas and levels such as curriculum, ICTs and course management. This paper presents an integrated approach for distance learning course planning that…

Our research project intends to build knowledge about HPC problems to be able to help local researchers. In the general case, researchers who consult us do not own the sources to the parallel programs they run. In order to advise…

Ontology integration is the problem of combining data sources in the SemanticWeb. Concepts in source ontologies are captured in terms of concepts de ned in a global ontology. When some of these ontologies are inconsistent, the knowledge engineer often has…