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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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Main Authors: Bolón-Canedo, Verónica. (Author, http://id.loc.gov/vocabulary/relators/aut), Sánchez-Maroño, Noelia. (http://id.loc.gov/vocabulary/relators/aut), Alonso-Betanzos, Amparo. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Artificial Intelligence: Foundations, Theory, and Algorithms,
Subjects:
Artificial intelligence.
Data mining.
Data structures (Computer science).
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Data Structures.
Online Access:https://doi.org/10.1007/978-3-319-21858-8

Internet

https://doi.org/10.1007/978-3-319-21858-8

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