Feature Selection for High-Dimensional Data

• 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.

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...

Πίνακας περιεχομένων:

• 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.