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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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Advanced Concepts in Rough Set Theory,In the last chapter, we discussed some basic concepts of Rough Set Theory. In this chapter, we will present some advanced concepts including some improved definitions, their examples and hybridization of RST with fuzzy set theory.
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Rough Set Theory Based Feature Selection Techniques,Rough Set Theory has been successfully used for feature selection techniques. The underlying concepts provided by RST help in finding representative features by eliminating the redundant ones. In this chapter, we will present various feature selection techniques which use RST concepts.
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Muhammad Summair Raza,Usman QamarProvides 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
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https://doi.org/10.1007/978-981-32-9166-9Feature Selection (FS); Rough Set Theory (RST); Attribute Reduction; Dimensionality Reduction; RSAR
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Introduction to Classical Rough Set Based APIs Library,r libraries as well. The major aspect here is that source code is also provided with each and every line explained. The explanation in this way will help the research community to not only easily use the code but also they can modify as per their own research requirements.
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