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...
| 出版年: | Electronics (Switzerland) |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI
2021
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| 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 |