Synthetic Data for Feature Selection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3289-0_24
Reference20 articles.
1. Chen H, Li T, Fan X, Luo C (2019) Feature selection for imbalanced data based on neighborhood rough sets. Inform Sci 483:1–20
2. Kamalov F, Thabtah F, Leung HH (2022) Feature selection in imbalanced data. Annals of Data Sci 1–15
3. Liu Y, Wang Y, Ren X, Zhou H, Diao X (2019) A classification method based on feature selection for imbalanced data. IEEE Access 7:81794–81807
4. Kamalov F, Sulieman H, Moussa S, Reyes JA, Safaraliev M (2023) Nested ensemble selection: an effective hybrid feature selection method. Heliyon 9(9)
5. Cai J, Luo J, Wang S, Yang S (2018) Feature selection in machine learning: a new perspective. Neurocomputing 300:70–79
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