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» Feature Subset Selection Using a Genetic Algorithm
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HAIS
2009
Springer
14 years 1 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
ECML
1998
Springer
14 years 1 months ago
A Monotonic Measure for Optimal Feature Selection
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
Huan Liu, Hiroshi Motoda, Manoranjan Dash
CIARP
2011
Springer
12 years 8 months ago
A Minority Class Feature Selection Method
Abstract. In many classification problems, and in particular in medical domains, it is common to have an unbalanced class distribution. This pose problems to classifiers as they ...
German Cuaya, Angélica Muñoz-Mel&eac...
CORR
2008
Springer
110views Education» more  CORR 2008»
13 years 9 months ago
Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem
During our earlier research, it was recognised that in order to be successful with an indirect genetic algorithm approach using a decoder, the decoder has to strike a balance betw...
Uwe Aickelin, Kathryn A. Dowsland
CEC
2007
IEEE
14 years 24 days ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...