Feature selection for data and pattern recognition / edited by Urszula Sta?czyk, Lakhmi C. Jain.
Tipo de material:
TextoSeries Studies in Computational Intelligence ; 584Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Springer, 2015Descripción: xviii, 355 páginas : 74 ilustraciones, 20 ilustraciones en colorTipo de contenido: - texto
- computadora
- recurso en línea
- 9783662456200
- Q342
Contenidos:
Feature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies.
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Feature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies.
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