Information Retrieval Systems normally deal with keywordbased technologies. Although those systems reach satisfactory results, they aren’t able to answer more complex queries done by users, especially those directly in natural language. To do that, there are the KnowledgeBased Systems, which…

We propose a framework for studying the effect of KDD on CRM in the Egyptian banking sector. We believe that the KDD process and applications may perform a significant role in Egyptian banks to improve CRM, in particular for customer…

We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of…

The knowledge imperfections should be considered when modeling complex problems. A solution is to develop a model that reduces the complexity and another option is to represent the imperfections: uncertainty, vagueness and incompleteness in the knowledge base. This paper proposes…

In the information age, knowledge leads to profits, power and success. As an ancestor of data mining, machine learning has concerned itself with discovery of new knowledge on its own. This paper presents experiment results produced by genetic algorithms in…

This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication,…

In the software world portability means power. The more operating environments you can support out of the same code tree means more potential users for your software. If done right, additional platforms can be supported with little extra maintenance cost.…

Este artigo descreve alguns princípios para a produção de objetos educacionais ergonômicos, os quais possibilitam a maximização do processamento dos conhecimentos propostos, evitando-se a sobrecarga cognitiva.
Nesse sentido, os educadores precisam ser capazes de apropriar-se das novas tecnologias para poderem…

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…

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…