An improved and random synthetic minority oversampling technique for imbalanced data

G Wei, W Mu, Y Song, J Dou - Knowledge-based systems, 2022 - Elsevier
Imbalanced data learning has become a major challenge in data mining and machine
learning. Oversampling is an effective way to re-achieve the balance by generating new …
被引用次数：61 相关文章

[引用][C] An improved and random synthetic minority oversampling technique for imbalanced data

G Wei, W Mu, Y Song, J Dou - Knowledge-Based Systems, 2022 - cir.nii.ac.jp
An improved and random synthetic minority oversampling technique for imbalanced data |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ …

An improved and random synthetic minority oversampling technique for imbalanced data

G Wei, W Mu, Y Song, J Dou - 2022 - dl.acm.org
Imbalanced data learning has become a major challenge in data mining and machine
learning. Oversampling is an effective way to re-achieve the balance by generating new …