Feature Selection for High-Dimensional Data

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Bolón-Canedo, Verónica (Συγγραφέας), Sánchez-Maroño, Noelia (Συγγραφέας), Alonso-Betanzos, Amparo (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:	Artificial Intelligence: Foundations, Theory, and Algorithms,
Θέματα:	Computer science. Data structures (Computer science). Data mining. Artificial intelligence. Computer Science. Artificial Intelligence (incl. Robotics). Data Mining and Knowledge Discovery. Data Structures.
Διαθέσιμο Online:	Full Text via HEAL-Link

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