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Mostrando ítems 21-30 de 224
Capítulo de Libro
Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation
(2004)
This paper presents a comprehensive study of gene expression patterns originating from a diffuse large B–cell lymphoma (DLBCL) database. It focuses on the implementation of feature selection and classification techniques. ...
Tesis Doctoral
Técnicas avanzadas de predicción y optimización aplicadas a sistemas de potencia
(2004-07)
Esta tesis está enmarcada básicamente dentro de dos campos de investigación, la minería de datos y la optimización. Principalmente tiene un carácter aplicado, ya que se han investigado tanto técnicas de predicción como de ...
Capítulo de Libro
SOAP: Efficient Feature Selection of Numeric Attributes
(2002)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. Depending on the ...
Artículo
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
(Elsevier, 2013)
This paper combines feature selection methods with a two-stage evolutionary classifier based on product unit neural networks. The enhanced methodology has been tried out with four filters using 18 data sets that report ...
Artículo
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
(Graz University of Technology, Institut für Informationssysteme und Computer Medie, 2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up–to–date border ...
Ponencia
A Tool to Obtain a Hierarchical Qualitative Rules from Quantitative Data
(Springer, 2005)
A tool to obtain a classifier system from labelled databases is presented. The result is a hierarchical set of rules to divide the space in n-orthohedrons. This hierarchy means that obtained rules must be applied in ...
Artículo
Analysis of environmental thresholds for runoff and erosion through qualitative reasoning methods
(WITPress, 2001)
Qualitative reasoning methods have proven useful to extract qualitative information from quantitative data in a wide variety of applications. In this work, we analysed a 30 months record of runoff and sediment yield from ...
Artículo
Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities
(MDPI, 2018)
New technologies such as sensor networks have been incorporated into the management of buildings for organizations and cities. Sensor networks have led to an exponential increase in the volume of data available in recent ...
Capítulo de Libro
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach
(Springer, 2015)
This paper presents a novel procedure to apply in a sequential way two data preparation techniques from a different nature such as data cleansing and feature selection. For the former we have experienced with a partial ...
Ponencia
Best Agglomerative Ranked Subset for Feature Selection
(2008-09)
The enormous increase of the size in databases makes finding an optimal subset of features extremely difficult. In this paper, a new feature selection method is proposed that will allow any subset evaluator -including the ...