An Improving Majority Weighted Minority Oversampling Technique for Imbalanced Classification Problem.
Chao-Ran WangXin-Hui ShaoPublished in: IEEE Access (2021)
Keyphrases
- minority class
- class imbalance
- majority class
- class distribution
- imbalanced datasets
- nearest neighbour
- support vector machine
- pattern classification
- imbalanced data sets
- imbalanced data
- pattern recognition
- classification accuracy
- class imbalanced
- machine learning
- training set
- image classification
- svm classifier
- k nearest neighbour
- decision boundary
- data sets
- decision trees
- feature extraction
- cost sensitive learning
- classification scheme
- support vector machine svm
- class labels
- classification models
- supervised learning
- single class
- model selection
- classification rules
- feature vectors
- feature space
- data streams
- decision rules
- automatic classification
- training data
- benchmark data sets
- training samples
- ensemble learning
- rare events
- concept drift
- neural network
- imbalanced class distribution
- cost sensitive