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Listar por autor "Riquelme Santos, José Cristóbal"
Mostrando ítems 21-40 de 225
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Ponencia
A Tool to Obtain a Hierarchical Qualitative Rules from Quantitative Data
Aguilar, Jesús; Riquelme Santos, José Cristóbal; Toro Bonilla, Miguel (Springer, 2005)A tool to obtain a classifier system from labelled databases is presented. The result is a hierarchical set of rules to ...
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Capítulo de Libro
A Two Stage Zone Regression Method for Global Characterization of a Project Database
Dolado, José Javier; Rodríguez, D.; Riquelme Santos, José Cristóbal; Ferrer Troyano, Francisco Javier; Cuadrado Gallego, Juan J. (Idea Group Pub., 2007)One of the problems found in generic project databases, where the data is collected from different organizations, is the ...
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Ponencia
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection
Tallón Ballesteros, Antonio Javier; Riquelme Santos, José Cristóbal; Ruiz, Roberto (Springer, 2016)A framework that combines feature selection with evolution ary artificial neural networks is presented. This paper copes ...
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Ponencia
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark
Luna Romera, José María; Martínez Ballesteros, María del Mar; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Springer, 2016)K-Means and Bisecting K-Means clustering algorithms need the optimal number into which the dataset may be divided. Spark ...
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Artículo
An approach to validity indices for clustering techniques in Big Data
Luna Romera, José María; García Gutiérrez, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal (Springer, 2018)Clustering analysis is one of the most used Machine Learning techniques to discover groups among data objects. Some ...
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Capítulo de Libro
An efficient data structure for decision rules discovery
Giráldez Rojo, Raúl; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (2003)The increasing amount of information available is encouraging the search for efficient techniques to improve the data ...
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Artículo
An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
Luna Romera, José María; Carranza García, Manuel; Arcos Vargas, Ángel; Riquelme Santos, José Cristóbal (Elsevier, 2024)CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of ...
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Capítulo de Libro
An evolutionary algorithm to discover numeric association rules
Mata Vázquez, Jacinto; Alvarez Macías, José Luis; Riquelme Santos, José Cristóbal (2002)Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there ...
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Artículo
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Springer, 2011)An evolutionary approach for finding existing relationships among several variables of a multidimensional time series ...
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Artículo
An Evolutionary and Local Search Algorithm for Motion Planning of Two Manipulators
Ridao Carlini, Miguel Ángel; Camacho, Eduardo F.; Riquelme Santos, José Cristóbal; Toro Bonilla, Miguel (Wiley, 2001)A method for obtaining coordinated motion plans of robot manipulators is presented. A decoupled planning approach has ...
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Artículo
An evolutionary approach to estimating software development projects
Aguilar Ruiz, Jesús Salvador; Ramos Román, Isabel; Riquelme Santos, José Cristóbal; Toro Bonilla, Miguel (Elsevier, 2001)The use of dynamic models and simulation environments in connection with software projects paved the way for tools that ...
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Artículo
An evolutionary voting for k-nearest neighbours
Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2016)This work presents an evolutionary approach to modify the voting system of the k-nearest neighbours (kNN) rule we called ...
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Artículo
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
García Gutiérrez, Jorge; Mateos García, Daniel; García, Mariano; Riquelme Santos, José Cristóbal (Elsevier, 2015)Data classification is a critical step to convert remotely sensed data into thematic information. Environmental researchers have ...
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Artículo
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
Lara Benítez, Pedro; Carranza García, Manuel; Riquelme Santos, José Cristóbal (World Scientific, 2021)In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural ...
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Artículo
Analysis of environmental thresholds for runoff and erosion through qualitative reasoning methods
Vallejo, C. G.; Rodríguez, F.; Bautista Aguilar, Josefa Susana; Riquelme Santos, José Cristóbal (WITPress, 2001)Qualitative reasoning methods have proven useful to extract qualitative information from quantitative data in a wide ...
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Capítulo de Libro
Analysis of Feature Rankings for Classification
Ruiz Sánchez, Roberto; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal; Díaz Díaz, Norberto (2005)Different ways of contrast generated rankings by feature selection algorithms are presented in this paper, showing several ...
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Capítulo de Libro
Analysis of Measures of Quantitative Association Rules
Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal (Springer, 2011)This paper presents the analysis of relationships among different interestingness measures of quality of association rules ...
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Artículo
Analysis of the evolution of the Spanish labour market through unsupervised learning
Luna Romera, José María; Núñez Hernández, Fernando; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal; Ibáñez, Carlos Usabiaga (Institute of Electrical and Electronics Engineers (IEEE), 2019)Unemployment in Spain is one of the biggest concerns of its inhabitants. Its unemployment rate is the second highest in ...
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Ponencia
Análisis Big Data para la Respuesta a la Demanda en el Mercado Eléctrico
Fábregas, José Antonio; Luna Romera, José María; Riquelme Santos, José Cristóbal; Arcos Vargas, Ángel; Tejedor Aguilera, Javier (Asociación Española para la Inteligencia Artificial (AEPIA), 2018)El modelo de negocio tradicional de las compañías energéticas está cambiando los últimos años. La introducción de los ...
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Ponencia
Aplicación de Técnicas de Clustering a la Serie Temporal de los Precios de la Energía en el Mercado Eléctrico
Martínez-Álvarez, F.; Troncoso, Antonio; Riquelme Santos, José Cristóbal; Riquelme Santos, Jesús Manuel (Thomson, 2007)La principal tarea de las técnicas de clustering es formar grupos de elementos que presenten una conducta similar a partir ...