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Cookie akzeptierenUsman Qamar / Muhammad Summair Raza
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
- Springer Nature Singapore
- 2019
- Gebunden
- 252 Seiten
- ISBN 9789813291652
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 for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. The book provides an essential reference guide for students, researchers, and developers working in
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