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Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications (2nd 2019 edition)

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

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Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications 2020, Springer, Singapore

ISBN-13: 9789813291683

2nd 2019 edition

Trade paperback

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications 2019, Springer, Singapore

ISBN-13: 9789813291652

2nd 2019 edition

Hardcover

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications 2018, Springer Verlag, Singapore, Singapore

ISBN-13: 9789811352782

Paperback

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications 2017, Springer

ISBN-13: 9789811049644

2017 edition

Hardcover