A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm.
Weibin ZhaoMengting XuXiuyi JiaLin ShangPublished in: RSFDGrC (2015)
Keyphrases
- imbalanced data
- classification method
- nearest neighbor algorithm
- k nearest neighbor
- knn
- support vector machine
- nearest neighbor
- decision boundary
- feature selection
- imbalanced data sets
- classification algorithm
- support vector machine svm
- svm classifier
- class distribution
- text classification
- linear regression
- multi class
- random forest
- ensemble methods
- minority class
- text categorization
- class imbalance
- sampling methods
- neural network
- pattern classification
- kernel function
- classification models
- ensemble classifier
- training data
- decision trees
- machine learning
- data sets
- benchmark datasets
- input space
- small number
- feature vectors
- high dimensional
- support vector
- nearest neighbour
- feature extraction