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

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications by Muhammad Summair Raza, Usman Qamar.

This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool f...

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Bibliographic Details
Main Authors: Raza, Muhammad Summair (Author), Qamar, Usman (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:2nd ed. 2019.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Application software.
Database management.
Data mining.
Numerical analysis.
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Call Number: E-Book
Status: Available

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