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

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Advance Concepts in RST,In the last chapter, we discussed some basic concepts of rough set theory. In this chapter we will present advance concepts in RST including some improved definitions, their examples and hybridization with fuzzy set theory.

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Rough Set-Based Feature Selection Techniques,Rough set theory has been successfully used for feature selection techniques. The underlying concepts provided by RST help find 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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Critical Analysis of Feature Selection Algorithms,rvised learning and unsupervised learning. In this chapter we will provide analysis of different RST-based feature selection algorithms. With explicit discussion on their results, different experiments were performed to compare the performance of algorithms. We will focus on RST-based feature selection algorithms.

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