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Feature Selection for Data and Pattern Recognition

This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of act...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Stańczyk, Urszula (Editor ), Jain, Lakhmi C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Studies in Computational Intelligence, 584
Temas:
Acceso en línea:Texto Completo
Tabla de 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.