Title
Wrapper for ranking feature selection
Date Issued
01 January 2004
Access level
open access
Resource Type
journal article
Author(s)
Universidad de Sevilla
Publisher(s)
Springer Verlag
Abstract
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain a minimum subset with the same error rate as the original data. The experiments were compared to two other algorithms with the same results, but with a very short computation time. © Springer-Verlag Berlin Heidelberg 2004.
Start page
384
End page
389
Volume
3177
Language
English
OCDE Knowledge area
Informática y Ciencias de la Información
Scopus EID
2-s2.0-35048814628
ISBN
3540228810
9783540228813
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
Sources of information:
Directorio de Producción Científica
Scopus