norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification.
Peng CaoXiaoli LiuJian ZhangDazhe ZhaoMin HuangOsmar R. ZaïanePublished in: Neurocomputing (2017)
Keyphrases
- imbalanced data classification
- feature selection
- support vector machine
- support vector
- minority class
- text categorization
- multi class
- feature selection algorithms
- text classification
- classification accuracy
- kernel pca
- machine learning
- feature space
- high dimensionality
- model selection
- dimensionality reduction
- class imbalance
- multiple kernel learning
- feature set
- sample size
- least squares
- k nearest neighbor
- kernel methods
- classification models
- random sampling
- meta learning
- sampling algorithm
- feature extraction