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Browsing by Author "Martínez Ballesteros, María del Mar"
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Presentation
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
Talavera Llames, Ricardo L.; Pérez Chacón, Rubén; Martínez Ballesteros, María del Mar; Troncoso Lora, Alicia; Martínez Álvarez, Francisco (Springer, 2016)A forecasting algorithm for big data time series is presented in this work. A nearest neighbours-based strategy is adopted ...
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Chapter of Book
A Sensitivity Analysis for Quality Measures of Quantitative Association Rules
Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Springer, 2013)There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery ...
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Article
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
Macías García, Laura; Luna Romera, José María; García Gutiérrez, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal; González Cámpora, Ricardo (Elsevier, 2017)Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes ...
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Presentation
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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Article
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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Article
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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Chapter of Book
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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Article
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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Article
Applications of Computational Intelligence in Time Series
Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Reyes, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal (Hindawi, 2017) -
Presentation
Aproximación al índice externo de validación de clustering basado en chi cuadrado
Luna Romera, José María; García Gutiérrez, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal (Asociación Española para la Inteligencia Artificial (AEPIA), 2018)El clustering es una de las técnicas más utilizadas en minería de datos. Tiene como objetivo principal agrupar datos en ...
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Article
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
Macías García, Laura; Martínez Ballesteros, María del Mar; Luna Romera, José María; García Heredia, José Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2020)Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the ...
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Presentation
Cis-cop: Multiobjective identification of cis-regulatory modules based on constrains
Romero Zaliz, Rocío; Martínez Ballesteros, María del Mar; Zwir, Igor; Val, Coral del (Universidad de Huelva, 2010)Gene expression regulation is an intricate, dynamic phenomenon essential for all biolog ical functions. The necessary ...
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Presentation
Descubriendo Reglas de Asociación Numéricas entre Series Temporales
Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Universidad de Sevilla, 2009)Este trabajo presenta el descubrimiento de reglas de asociación basadas en técnicas evolutivas para obtener relaciones ...
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Article
Discovering gene association networks by multi-objective evolutionary quantitative association rules
Martínez Ballesteros, María del Mar; Nepomuceno Chamorro, Isabel de los Ángeles; Riquelme Santos, José Cristóbal (Elsevier, 2014)In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the ...
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Presentation
Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules
Sánchez Medina, Alejandro; Gil Pichardo, Alberto; García Heredia, José Manuel; Martínez Ballesteros, María del Mar (Springer, 2016)This work proposes a methodology to identify genes highly related with cancer. In particular, a multi-objective evolutionary ...
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Article
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
Martínez Ballesteros, María del Mar; Bacardit, Jaume; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (iOS Press, 2015)Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes ...
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Presentation
EVFUZZYSYSTEM: evolución de sistemas difusos para problemas de regresión multi-dimensionales
Martínez Ballesteros, María del Mar; Rivas, Víctor M. (Universidad de Huelva, 2010)Este trabajo presenta EvFuzzySystem, un método evolutivo que permite el diseño com pleto de sistemas de lógica difusa, ...
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PhD Thesis
Evolutionary Algorithms to Discover Quantitative Association Rules
Martínez Ballesteros, María del Mar (2011) -
Article
Evolutionary association rules for total ozone content modeling from satellite observations
Martínez Ballesteros, María del Mar; Salcedo Sanz, S.; Riquelme Santos, José Cristóbal; Casanova Mateo, C.; Camacho, J. L. (Elsevier, 2011)In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association ...
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Article
Extensiones para el Ciclo de Mejora Continua en la enseñanza e investigación de Ingeniería Informática
Álvarez de la Concepción, Miguel Ángel; Jiménez Ramírez, Andrés; Martínez Ballesteros, María del Mar; Martínez Gasca, Rafael; Parody Núñez, María Luisa; Soria Morillo, Luis Miguel (2011)Este trabajo expone cómo añadiendo aspectos relacionados con la vigilancia tecnológica, las técnicas creativas aplicadas ...