Abstract
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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Raza, M.S., Qamar, U. (2017). Rough Set-Based Feature Selection Techniques. In: Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-10-4965-1_5
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DOI: https://doi.org/10.1007/978-981-10-4965-1_5
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-4965-1
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