Classification of Imbalanced Data with Random sets and Mean-Variance Filtering.
Vladimir NikulinPublished in: Int. J. Data Warehous. Min. (2008)
Keyphrases
- imbalanced data
- classification models
- feature selection
- imbalanced datasets
- decision trees
- class distribution
- pattern recognition
- image classification
- imbalanced data sets
- feature vectors
- support vector machine
- class imbalance
- classification accuracy
- text classification
- ensemble classifier
- feature extraction
- random forest
- machine learning
- linear regression
- classification algorithm
- prediction accuracy
- feature set
- benchmark datasets
- high dimensionality
- pattern classification
- ensemble methods
- non stationary
- generalization ability
- supervised learning
- least squares
- decision boundary
- active learning
- feature space
- training data
- data sets