Enhancing big data feature selection using a hybrid correlation-based feature selection

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Enhancing big data feature selection using a hybrid correlation-based feature selection

This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search (BFS), and dominance-based rough set approach (DRSA) methods. This study aims...

書誌詳細
出版年:	Electronics (Switzerland)
第一著者:	Mohamad M.; Selamat A.; Krejcar O.; Crespo R.G.; Herrera-Viedma E.; Fujita H.
フォーマット:	論文
言語:	English
出版事項:	MDPI 2021
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120159767&doi=10.3390%2felectronics10232984&partnerID=40&md5=f7043c22bd74f2e2b6993aab356ca26e

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