Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

• Κύριοι συγγραφείς: Raza, Muhammad Summair (Συγγραφέας), Qamar, Usman (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Θέματα: Computer science.; Numerical analysis.; Database management.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Database Management.; Data Mining and Knowledge Discovery.; Numeric Computing.

This book provides a comprehensive introduction to Rough Set-based feature selection. It enables the reader to systematically study all topics of Rough Set Theory (RST) including the preliminaries, advanced concepts and feature selection using RST. In addition, the book is supplemented with an RST-b...

Πίνακας περιεχομένων:

• Introduction to Feature Selection
• Background
• Rough Set Theory
• Advance Concepts in RST
• Rough Set Based Feature Selection Techniques
• Unsupervised Feature Selection using RST
• Critical Analysis of Feature Selection Algorithms
• RST Source Code.