| 書目名稱 | Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications | | 編輯 | Muhammad Summair Raza,Usman Qamar | | 視頻video | http://file.papertrans.cn/942/941766/941766.mp4 | | 概述 | Complete introduction of FS and RST (including background and practical applications).In-depth analysis of state-of-the-art tools and techniques (including strong and weak points and complexity analys | | 圖書封面 |  | | 描述 | .The book will provide:..1) In depth explanation of rough set theory along with examples of the concepts...2) Detailed discussion on idea of feature selection..3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations...4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each...5) In depth investigation of various application areas using rough set based feature selection...6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs..7) Program files of various representative Feature Selection algorithms along with explanation of each..The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers. .Book will provide in-depth explanation of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work witho | | 出版日期 | Book 20171st edition | | 關鍵詞 | Feature Selection (FS); Rough Set Theory (RST); Attribute Reduction; Dimensionality Reduction; RSAR | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-4965-1 | | isbn_softcover | 978-981-13-5278-2 | | isbn_ebook | 978-981-10-4965-1 | | copyright | The Editor(s) (if applicable) and The Author(s) 2017 |
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