Author profile: Martínez Ballesteros, María del Mar
Institutional data
| Name | Martínez Ballesteros, María del Mar |
| Department | Lenguajes y Sistemas Informáticos |
| Knowledge area | Lenguajes y Sistemas Informáticos |
| Professional category | Profesora Titular de Universidad |
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Statistics
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No. publications
32
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No. visits
2162
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No. downloads
4231
| Publications |
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Article
 Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
(Elsevier, 2020-01-01)
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the ... |
Article
Analysis of the evolution of the Spanish labour market through unsupervised learning
(Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
Unemployment in Spain is one of the biggest concerns of its inhabitants. Its unemployment rate is the second highest in ... |
Article
External clustering validity index based on chi-squared statistical test
(Elsevier, 2019-01-01)
Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters so ... |
Article
An approach to validity indices for clustering techniques in Big Data
(Springer, 2018-01-01)
Clustering analysis is one of the most used Machine Learning techniques to discover groups among data objects. Some ... |
Presentation
Aproximación al índice externo de validación de clustering basado en chi cuadrado
(Asociación Española para la Inteligencia Artificial (AEPIA), 2018-01-01)
El clustering es una de las técnicas más utilizadas en minería de datos. Tiene como objetivo principal agrupar datos en ... |
Article
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
(Elsevier, 2018-01-01)
Many algorithms have emerged to address the discovery of quantitative association rules from datasets in the last years. ... |
Article
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
(Elsevier, 2017-01-01)
Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes ... |
Presentation
Predicción de módulos defectuosos como un problema de optimización multiobjetivo
(Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES), 2017-01-01)
La dificultad de aplicar técnicas de análisis de datos al problema de la calidad del software radica principalmente en dos ... |
Article
Applications of Computational Intelligence in Time Series
(Hindawi, 2017-01-01)
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Article
Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017-01-01)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over ... |
Article
Obtaining optimal quality measures for quantitative association rules
(Elsevier, 2016-01-01)
There exist several works in the literature in which fitness functions based on a combination of weighted measures for the ... |
Presentation
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark
(Springer, 2016-01-01)
K-Means and Bisecting K-Means clustering algorithms need the optimal number into which the dataset may be divided. Spark ... |
Presentation
Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules
(Springer, 2016-01-01)
This work proposes a methodology to identify genes highly related with cancer. In particular, a multi-objective evolutionary ... |
Presentation
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
(Springer, 2016-01-01)
A forecasting algorithm for big data time series is presented in this work. A nearest neighbours-based strategy is adopted ... |
Article
Improving a multi-objective evolutionary algorithm to discover quantitative association rules
(Springer, 2015-01-01)
This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association ... |
Article
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
(iOS Press, 2015-01-01)
Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes ... |
Article
Discovering gene association networks by multi-objective evolutionary quantitative association rules
(Elsevier, 2014-01-01)
In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the ... |
Article
Selecting the best measures to discover quantitative association rules
(Elsevier, 2014-01-01)
The majority of the existing techniques to mine association rules typically use the support and the confidence to evaluate ... |
Chapter of Book
A Sensitivity Analysis for Quality Measures of Quantitative Association Rules
(Springer, 2013-01-01)
There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery of ... |
Article
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
(Springer, 2011-01-01)
An evolutionary approach for finding existing relationships among several variables of a multidimensional time series is ... |
Chapter of Book
Analysis of Measures of Quantitative Association Rules
(Springer, 2011-01-01)
This paper presents the analysis of relationships among different interestingness measures of quality of association rules ... |
| PhD Thesis |
Article
Extensiones para el Ciclo de Mejora Continua en la enseñanza e investigación de Ingeniería Informática
(2011-01-01)
Este trabajo expone cómo añadiendo aspectos relacionados con la vigilancia tecnológica, las técnicas creativas aplicadas ... |
Chapter of Book
Inferring Gene-Gene Associations from Quantitative Association Rules
(IEEE, 2011-01-01)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ... |
Presentation
On the use of algorithms to discover motifs in DNA sequences
(IEEE, 2011-01-01)
Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this task remains challenging ... |
Article
Evolutionary association rules for total ozone content modeling from satellite observations
(Elsevier, 2011-01-01)
In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association ... |
Presentation
Mining Quantitative Association Rules in Microarray Data Using Evolutive Algorithms
(SciTePress, 2011-01-01)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ... |
Presentation
Cis-cop: Multiobjective identification of cis-regulatory modules based on constrains
(Universidad de Huelva, 2010-01-01)
Gene expression regulation is an intricate, dynamic phenomenon essential for all biolog ical functions. The necessary ... |
Article
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
(IOS Press, 2010-01-01)
This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, ... |
Presentation
EVFUZZYSYSTEM: evolución de sistemas difusos para problemas de regresión multi-dimensionales
(Universidad de Huelva, 2010-01-01)
Este trabajo presenta EvFuzzySystem, un método evolutivo que permite el diseño com pleto de sistemas de lógica difusa, ... |
Chapter of Book
Quantitative Association Rules Applied to Climatological Time Series Forecasting
(2009-01-01)
This work presents the discovering of association rules based on evolutionary techniques in order to obtain relationships ... |
Presentation
Descubriendo Reglas de Asociación Numéricas entre Series Temporales
(Universidad de Sevilla, 2009-01-01)
Este trabajo presenta el descubrimiento de reglas de asociación basadas en técnicas evolutivas para obtener relaciones ... |
