Browsing by Author "Martínez Ballesteros, María del Mar"
Now showing items 1-20 of 32
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Presentation
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
(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
(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
(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
(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
(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
(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
(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
(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
(Hindawi, 2017) -
Presentation
Aproximación al índice externo de validación de clustering basado en chi cuadrado
(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
(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
(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
(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
(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
(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
(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
(Universidad de Huelva, 2010)Este trabajo presenta EvFuzzySystem, un método evolutivo que permite el diseño com pleto de sistemas de lógica difusa, ...
- PhD Thesis
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Article
Evolutionary association rules for total ozone content modeling from satellite observations
(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
(2011)Este trabajo expone cómo añadiendo aspectos relacionados con la vigilancia tecnológica, las técnicas creativas aplicadas ...
