A Synthetic Minority Based on Probabilistic Distribution (SyMProD) Oversampling for Imbalanced Datasets.
Intouch KunakorntumWoranich HinthongPhond PhunchongharnPublished in: IEEE Access (2020)
Keyphrases
- imbalanced datasets
- minority class
- class imbalance
- majority class
- class distribution
- cost sensitive learning
- classification error
- learning from imbalanced data
- imbalanced data
- imbalanced class distribution
- sampling methods
- nearest neighbour
- training dataset
- training data
- decision boundary
- active learning
- original data
- decision trees
- ensemble learning
- support vector machine
- generative model
- misclassification costs
- feature selection
- feature extraction
- training set
- test set
- microarray
- training samples
- data distribution
- supervised learning
- high dimensionality
- classification accuracy
- feature selection algorithms
- pattern classification
- concept drift