Feature Selection with High-Dimensional Imbalanced Data.
Jason Van HulseTaghi M. KhoshgoftaarAmri NapolitanoRandall WaldPublished in: ICDM Workshops (2009)
Keyphrases
- imbalanced data
- feature selection
- high dimensional
- high dimensionality
- feature space
- dimensionality reduction
- classification models
- class imbalance
- feature set
- support vector machine
- text categorization
- class distribution
- text classification
- linear regression
- low dimensional
- nearest neighbor
- support vector
- feature selection algorithms
- high dimensional data
- training samples
- feature subset
- data points
- ensemble methods
- ensemble classifier
- training data
- preprocessing step
- random forest
- input space
- svm classifier
- multi class
- decision trees
- model selection
- sampling methods
- machine learning