Feature Selection for High-Dimensional Data

This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.   The authors first focus on the analysis and synthesis...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bolón-Canedo, Verónica (Autor), Sánchez-Maroño, Noelia (Autor), Alonso-Betanzos, Amparo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Artificial Intelligence: Foundations, Theory, and Algorithms,
Temas:
Artificial intelligence.
Data mining.
Artificial intelligence-Data processing.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Data Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction to High-Dimensionality
  • Foundations of Feature Selection
  • Experimental Framework
  • Critical Review of Feature Selection Methods
  • Application of Feature Selection to Real Problems
  • Emerging Challenges.

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