Editing Training Sets from Imbalanced Data Using Fuzzy-Rough Sets.
Do Van NguyenKeisuke OgawaKazunori MatsumotoMasayuki HashimotoPublished in: AIAI (2015)
Keyphrases
- imbalanced data
- fuzzy rough sets
- training set
- class distribution
- svm classifier
- rough sets
- support vector machine
- minority class
- base classifiers
- decision trees
- class imbalance
- fuzzy sets
- attribute reduction
- ensemble methods
- linear regression
- training data
- training samples
- active learning
- decision boundary
- fuzzy relations
- training examples
- test set
- data sets
- classification accuracy
- classification models
- feature selection
- nearest neighbor
- rough set theory
- cost sensitive
- rough approximations
- class labels
- random forest
- classification algorithm
- supervised learning
- classification error
- data analysis
- benchmark datasets
- text classification
- nearest neighbour
- sampling methods
- least squares
- artificial neural networks
- feature space
- data mining