Frequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot allways afford time and resources…

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…

This study set sights at the issue of predominance of the attitude and behavior of self medication, medication storage and self treatment among female students of a Pakistani university. Random sampling and cross sectional surveys were conducted after collecting the…

This paper presents a proposal for an architecture that integrates knowledge discovery systems (automatic acquisition) and knowledge based systems (experts systems). This work formulates considerations over the viability of the implementation of this architecture according to the advance of the…

El presente trabajo forma parte del proyecto de investigación “Los jóvenes frente a la Historia” dirigido por Luis Cerri y Gonzalo de Amézola, cuyo objeto es abordar el estado actual de la enseñanza y del aprendizaje de la Historia en…

Focusing on the Ontology Change problem, we consider an environment where Description Logics (DLs) are the logical formalization to express knowledge bases, and the integration of distributed ontologies is developed under new extensions and modifications of the Belief Revision theories…

El hecho innegable que los recursos de la Web Social han impactado positivamente en la enseñanza de lenguas extranjeras, nos hace abrirnos a la perspectiva que supone la transferencia de dichas tecnologías al campo educativo. A tal efecto, sostenemos que…

Este artigo apresenta um algoritmo Cultural Extendido para o problema do Despacho Econômico. O Algoritmo Cultural têm cinco categorias de conhecimento. Este trabalho visa demonstrar a aplicação do conhecimento histórico, que objetiva monitorar a busca e armazenar os eventos importantes…

Artificial Intelligence (AI) has long dealt with the issue of finding a suitable formalization for commonsense reasoning. Defeasible argumentation has proven to be a successful approach in many respects, proving to be a confluence point for many alternative logical frameworks.…

The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed, such as datamining programs, information-filtering systems, etc. Although ML…