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Titlebook: Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications; Muhammad Summair Raza,Usman Qamar Book 2

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發(fā)表于 2025-3-21 17:55:54 | 只看該作者 |倒序瀏覽 |閱讀模式
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videohttp://file.papertrans.cn/942/941765/941765.mp4
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
圖書封面Titlebook: Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications;  Muhammad Summair Raza,Usman Qamar Book 2
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
關(guān)鍵詞Feature Selection (FS); Rough Set Theory (RST); Attribute Reduction; Dimensionality Reduction; RSAR
版次2
doihttps://doi.org/10.1007/978-981-32-9166-9
isbn_softcover978-981-32-9168-3
isbn_ebook978-981-32-9166-9
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Book 2019Latest editionof 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
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Muhammad Summair Raza,Usman Qamarconversion of extracellular stimuli to intracellular signals, and control of various intracellularevents. These functions of zinc have become recognized as “zinc signals,” which play critical roles in physiology, and therefore their imbalance can cause a variety of problems with regard to human heal
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Muhammad Summair Raza,Usman QamarSciences Institute (ILSI) is a non-profit organization founded to deal objectively with the numerous health and safety issues that today concern industry internationally. ILSI sponsors scientific research, organizes conferences and publishes monographs relative to these problems. London Ian Macdonal
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Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
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Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications978-981-32-9166-9
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Introduction to Feature Selection,This is an era of information. However, the data is only valuable if it is efficiently processed and useful information is derived out of it. It is now common to find applications that require data with thousands of attributes. Problem with processing such datasets is that they require a huge amount of resources
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