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Ponencia
Mejoras en la Toma de Decisiones en Proyectos de Software. Aplicación de Téchnicas de Lógica Borrosa
(Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES), 2000)
Los Simuladores de Proyectos de Desarrollo de Software basados en modelos dinámicos han supuesto un avance significativo frente a las técnicas tradicionales de estimación. Estos simuladores permiten conocer la evolución ...
Ponencia
Generation of Management Rules through System Dynamics and Evolutionary Computation
(Springer, 2002)
Decision making has been traditionally based on a managers experience. This paper, however, discusses how a software project simulator based on System Dynamics and Evolutionary Computation can be combined to obtain ...
Ponencia
Best Agglomerative Ranked Subset for Feature Selection
(2008-09)
The enormous increase of the size in databases makes finding an optimal subset of features extremely difficult. In this paper, a new feature selection method is proposed that will allow any subset evaluator -including the ...
Artículo
Knowledge-Based Fast Evaluation for Evolutionary Learning
(IEEE, 2005)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources, such as evolutionary ...
Ponencia
Improvements In The Decision Making In Software Projects
(Escola Superior de Tecnologia de Setúbal, 2001)
The Simulators of Software Development Projects based on dynamic models have supposed a significant advance in front of the traditional techniques of estimate. These simulators enable to know the evolution of a project ...
Ponencia
SEGESOFT: un entorno de entrenamiento para la gestión de proyectos software
(SISTEDES: Ingeniería de Software y las Tecnologías de Desarrollo de Software, 2001)
La gestión de proyectos se puede considerar todavía como un arte en el cual el uso de la información cuantitativa tiende a fomentar un enfoque más riguroso de la gestión. En este trabajo presentamos la estructura y los ...
Ponencia
Discovering Numeric Association Rules via Evolutionary Algorithm
(Springer, 2002-05)
Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there are many efficient techniques to obtain these rules, although most of them require that the values ...
Capítulo de Libro
Efficient Incremental-Ranked Feature Selection in Massive Data
(Chapman and Hall/CRC, 2007)
Artículo
Data Set Editing by Ordered Projection
(IOS Press, 2001)
This paper presents a new approach to data set editing. The algorithm (EOP: Editing by Ordered Projection) has some interesting characteristics: important reduction of the number of examples from the database; lower ...
Artículo
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
(2000)
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produces a hierarchical set of rules, that is, ...