A Rough Set based Minority Class Oriented Learning Algorithm for Highly Unbalanced Data Sets.
Dongyi YeZhaojiong ChenPublished in: GrC (2008)
Keyphrases
- minority class
- unbalanced data sets
- learning algorithm
- class imbalance
- class distribution
- training data
- classification error
- decision boundary
- active learning
- nearest neighbour
- support vector machine
- base learners
- training samples
- training set
- cost sensitive learning
- original data
- generalization error
- sampling methods
- rough sets
- training examples
- training dataset
- supervised learning
- machine learning algorithms
- unlabeled data
- ensemble learning
- generalization ability
- machine learning
- cost sensitive
- learning tasks
- rough set theory
- ensemble methods
- feature selection
- learning process
- learning scheme
- learning problems
- high dimensional data