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Mostrando ítems 1-10 de 87
Artículo
Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
(Springer, 2020)
This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a prior data preparation at attribute level by means of flter-based feature selection. Therefore, the ...
Artículo
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule
(Elsevier, 2019)
This paper presents an evolutionary method for modifying the behaviour of the k-Nearest-Neighbour clas sifier (kNN) called Simultaneous Weighting of Attributes and Neighbours (SWAN). Unlike other weighting methods, SWAN ...
Artículo
Selecting the best measures to discover quantitative association rules
(Elsevier, 2014)
The majority of the existing techniques to mine association rules typically use the support and the confidence to evaluate the quality of the rules obtained. However, these two measures may not be sufficient to properly ...
Artículo
Obtaining optimal quality measures for quantitative association rules
(Elsevier, 2016)
There exist several works in the literature in which fitness functions based on a combination of weighted measures for the discovery of association rules have been proposed. Nevertheless, some differences in the measures ...
Artículo
EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion
(Elsevier, 2012)
Land use and land covers (LULC) maps are remote sensing products that are used to classify areas into different landscapes. Data fusion for remote sensing is becoming an important tool to improve classical approaches. ...
Artículo
Presentación: Minería de Datos
(Asociación Española para la Inteligencia Artificial, 2006)
La Minería de Datos ha experimentado en los últimos años una notable explosión de interés tanto en ámbitos académicos como industriales. Se trata de un área interdisciplinar fuertemente relacionada con el aprendizaje ...
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 ...
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 ...