A Kernel Density Estimation-Based Variation Sampling for Class Imbalance in Defect Prediction.
Yuqing ZhangXuefeng YanArif Ali KhanPublished in: ISPA/BDCloud/SocialCom/SustainCom (2020)
Keyphrases
- kernel density estimation
- class imbalance
- sampling methods
- defect prediction
- minority class
- class distribution
- mean shift
- active learning
- probability density function
- cost sensitive
- density estimation
- concept drift
- object segmentation
- density function
- high dimensionality
- feature selection
- software projects
- higher dimensional
- image classification
- training data
- training examples
- pairwise
- high dimensional
- learning process
- small number
- outlier detection
- training samples