STEM Rebalance: A Novel Approach for Tackling Imbalanced Datasets using SMOTE, Edited Nearest Neighbour, and Mixup.
Yumnah HasanFatemeh AmerehiPatrick HealyConor RyanPublished in: ICCP (2023)
Keyphrases
- nearest neighbour
- imbalanced datasets
- minority class
- decision trees
- imbalanced data
- imbalanced data sets
- highly skewed
- training set
- knn
- k nearest neighbor
- class imbalance
- support vector machine
- class distribution
- euclidean distance
- cost sensitive learning
- ensemble methods
- sampling methods
- training dataset
- text categorization
- rough sets
- data sets
- semi supervised
- machine learning