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

• Main Authors: Raza, Muhammad Summair (Author, http://id.loc.gov/vocabulary/relators/aut), Qamar, Usman (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 2nd ed. 2019.
• Subjects: Artificial intelligence.; Application software.; Database management.; Data mining.; Numerical analysis.; Artificial Intelligence.; 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. 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...