Title :
A Two-Phase Heuristic Construction of Feature Sets for Classification
Author :
García-Torres, Miguel ; Ruiz, Roberto ; Batista, Belén Melián ; Pérez, José A Moreno ; Moreno-Vega, J. Marcos
Author_Institution :
Escuela Politcnica Super., Univ. Pablo de Olavide, Sevilla, Spain
Abstract :
The aim of feature selection applied to a classification task is to find a minimal subset of features for being used in the classification. Some researches have focused their effort on selecting a useful set of attributes, others on selecting a relevant and not redundant set of attributes. We proposed a heuristic construction algorithm for selecting a useful and not redundant subset of features. The algorithm proposed belongs to the filter approach and make use of a correlation measure for the task.
Keywords :
data mining; feature extraction; pattern classification; set theory; classification task; data mining; feature selection; feature sets; filter approach; two-phase heuristic construction algorithm; Algorithm design and analysis; Approximation algorithms; Databases; Heuristic algorithms; Machine learning; Markov processes; Redundancy; Feature selection; classification; data mining; feature ranking;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4577-2068-0
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2011.175
