Tackling Class Imbalance Problem in Software Defect Prediction Through Cluster-Based Over-Sampling With Filtering.
Lina GongShujuan JiangLi JiangPublished in: IEEE Access (2019)
Keyphrases
- software defect prediction
- class imbalance
- sampling methods
- imbalanced data
- minority class
- class distribution
- active learning
- cost sensitive learning
- cost sensitive
- ensemble learning
- random sampling
- high dimensionality
- concept drift
- feature selection
- feature ranking
- sample selection bias
- pairwise
- classification models
- sample size