A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction.
Kehan GaoTaghi M. KhoshgoftaarAmri NapolitanoPublished in: ICMLA (2) (2012)
Keyphrases
- software defect prediction
- class imbalance
- high dimensionality
- high dimensional
- feature space
- dimensionality reduction
- high dimensional data
- feature selection
- cost sensitive learning
- microarray
- sampling methods
- feature ranking
- imbalanced data
- minority class
- data sets
- support vector
- pattern recognition
- class distribution