O processo de Descoberta de Conhecimento em Bancos de Dados Geográficos (DCBDG) busca encontrar padrões, informações e relacionamento espacial implícitos em dados descritivos e espaciais armazenados em bancos de dados geográficos. Este tipo de descoberta é muito importante para o…

“La tecnología KDD está basada en un bien definido proceso KDD de múltiples pasos, para el descubrimiento de conocimiento en grandes colecciones de datos. El proceso KDD es iterativo por naturaleza, y depende de la interacción para la toma de…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

In this article we present a generalized dynamic argumentation framework that handles arguments expressed in an abstract language assumed to be some first order logic fragment. Once the formalism is presented, we propose a reification to the description logic ALC…

Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the decision process in the problem…

Hoy en día, aparece la necesidad ineludible de proporcionar a las organizaciones los conocimientos que necesitan, donde los necesiten, cómo los necesiten y cuándo los necesiten. Esto es proporcionar los conocimientos en el momento oportuno; siendo necesario plantear la Gestión…

En esta comunicación presentaremos el trabajo que estamos realizando, centrado en la creación de entornos que permitan la construcción conjunta del conocimiento mediante herramientas informáticas, en concreto la herramienta Knowledge Forum como elemento mediador en el proceso de discusión y…

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

This article introduces an approach to anomaly intrusion detection based on a combination of supervised and unsupervised machine learning algorithms. The main objective of this work is an effective modeling of the TCP/IP network traffic of an organization that allows…