| 书目名称 | Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications | | 编辑 | Muhammad Summair Raza,Usman Qamar | | 视频video | | | 概述 | Provides a comprehensive introduction to rough set-based feature selection.Enables the reader to systematically study all topics in rough set theory (RST).The book provides an essential reference guid | | 图书封面 |  | | 描述 | .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 the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book. . This second edition also co | | 出版日期 | Book 2019Latest edition | | 关键词 | Feature Selection (FS); Rough Set Theory (RST); Attribute Reduction; Dimensionality Reduction; RSAR | | 版次 | 2 | | doi | https://doi.org/10.1007/978-981-32-9166-9 | | isbn_softcover | 978-981-32-9168-3 | | isbn_ebook | 978-981-32-9166-9 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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发表于 2025-3-21 17:55:54
发表于 2025-3-21 22:04:05
