Feature Selection for High-Dimensional Data

Feature Selection for High-Dimensional Data by Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos.

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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Bibliographic Details
Main Authors: Bolón-Canedo, Verónica (Author), Sánchez-Maroño, Noelia (Author), Alonso-Betanzos, Amparo (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Artificial Intelligence: Foundations, Theory, and Algorithms,
Springer eBook Collection.
Subjects:
Artificial intelligence.
Data mining.
Data structures (Computer science).
Electronic resources (E-books)
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