A minority oversampling approach for fault detection with heterogeneous imbalanced data
A minority oversampling approach for fault detection with heterogeneous imbalanced data
Jie Liu
2021 · DOI: 10.1016/J.ESWA.2021.115492
Expert systems with applications · 23 Citations
TLDR
This work proposes new fault-detection methods for heterogeneous imbalanced data, and is the first time that the effectiveness of diverse oversampling methods on heterogeneous imbalance data are specifically discussed.