Search
Now showing items 1-9 of 9
Presentation
Remote mining: from clustering to DTM
(Bournemouth University, 2008)
LIDAR data acquisition is becoming an indispensable task for terrain characterization in large surfaces. In Mediterranean woods this job results hard due to the great variety of heights and forms, as well as sparse ...
Article
Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over the next decades. Unconventional strategies for elucidating the genetic mechanisms are necessary ...
Presentation
Mining Quantitative Association Rules in Microarray Data Using Evolutive Algorithms
(SciTePress, 2011)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The interest in this technique has grown exponentially in recent years and the difficulties in analyzing ...
Presentation
Searching for Rules to find Defective Modules in Unbalanced Data Sets
(IEEE Xplore, 2009-05)
The characterisation of defective modules in software engineering remains a challenge. In this work, we use data mining techniques to search for rules that indicate modules with a high probability of being defective. Using ...
Article
Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes
(Springer, 2007-01-24)
In this article, a set of clustering algorithms based on Fuzzy Logic and Data Mining are applied, allowing to obtain data in the form of linguistic rules and charts about the behaviour of the Tinto and Odiel river estuary ...
Presentation
Búsqueda secuencial de subconjuntos de atributos sobre un rankin
(Thomson-Paraninfo, 2005)
La selección de atributos es una técnica de preprocesamiento que extrae atributos relevantes del conjunto total de atributos, englobando una búsqueda de subconjuntos que mejor se ajusten a una medida de evaluación. Estas ...
Article
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
(IOS Press, 2010)
This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, a real-coded genetic algorithm that extends the well-known binary-coded CHC algorithm has been ...
Presentation
Finding Defective Modules from Highly Unbalanced Datasets
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2008-10)
Many software engineering datasets are highly unbalanced, i.e., the number of instances of a one class outnumber the number of instances of the other class. In this work, we analyse two balancing techniques with two common ...
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 entre series temporales correlacionadas. Para este propósito, se ha propuesto determinar los intervalos ...