New feature selection method for multi-class data: Iteratively weighted AUC (IWA)

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2011

Volumn 1, Issue , 2011, Pages 336-340

  Honzík, Petr ^a   Kučera, Pavel ^a   Hynčica, Ondřej ^a   Haupt, Daniel ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

AUC; classification; feature selection; IWA; multi class; ROC

Indexed keywords

AUC; EQUIVALENT METHOD; FEATURE SELECTION METHODS; IWA; MULTI-CLASS; MULTI-CLASS PROBLEMS; RECEIVER OPERATING CHARACTERISTICS; ROC;

CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; ITERATIVE METHODS;

FEATURE EXTRACTION;

EID: 82955186260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDAACS.2011.6072769     Document Type: Conference Paper

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