A hybrid wrapper/filter approach for feature subset selection

This work presents a hybrid wrapper/filter algorithm for feature subset selection that can use a combination of several quality criteria measures to rank the set of features of a dataset. These ranked features are used to prune the search space of subsets of possible features such that the number of...

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Autores principales: Prati, Ronaldo C., Batista, Gustavo E. A. P. A., Monard, Maria Carolina
Formato: Articulo
Lenguaje:Inglés
Publicado: 2008
Materias:
Ciencias Informáticas
Feature Subset Selection
Wrapper
Filter
Machine Learning
Data Mining
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/135449
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/96
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-135449
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Feature Subset Selection
Wrapper
Filter
Machine Learning
Data Mining
spellingShingle Ciencias Informáticas
Feature Subset Selection
Wrapper
Filter
Machine Learning
Data Mining
Prati, Ronaldo C.
Batista, Gustavo E. A. P. A.
Monard, Maria Carolina
A hybrid wrapper/filter approach for feature subset selection
topic_facet Ciencias Informáticas
Feature Subset Selection
Wrapper
Filter
Machine Learning
Data Mining
description This work presents a hybrid wrapper/filter algorithm for feature subset selection that can use a combination of several quality criteria measures to rank the set of features of a dataset. These ranked features are used to prune the search space of subsets of possible features such that the number of times the wrapper executes the learning algorithm for a dataset with M features is reduced to O(M) runs. Experimental results using 14 datasets show that, for most of the datasets, the AUC assessed using the reduced feature set is comparable to the AUC of the model constructed using all the features. Furthermore, the algorithm archieved a good reduction in the number of features.
format Articulo
Articulo
author Prati, Ronaldo C.
Batista, Gustavo E. A. P. A.
Monard, Maria Carolina
author_facet Prati, Ronaldo C.
Batista, Gustavo E. A. P. A.
Monard, Maria Carolina
author_sort Prati, Ronaldo C.
title A hybrid wrapper/filter approach for feature subset selection
title_short A hybrid wrapper/filter approach for feature subset selection
title_full A hybrid wrapper/filter approach for feature subset selection
title_fullStr A hybrid wrapper/filter approach for feature subset selection
title_full_unstemmed A hybrid wrapper/filter approach for feature subset selection
title_sort hybrid wrapper/filter approach for feature subset selection
publishDate 2008
url http://sedici.unlp.edu.ar/handle/10915/135449
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/96
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