Handling Imbalanced Datasets by Partially Guided Hybrid Sampling for Pattern Recognition.
Tushar SandhanJin Young ChoiPublished in: ICPR (2014)
Keyphrases
- imbalanced datasets
- sampling methods
- pattern recognition
- imbalanced data
- imbalanced class distribution
- learning from imbalanced data
- highly skewed
- minority class
- class imbalance
- random sampling
- class distribution
- neural network
- cost sensitive learning
- machine learning
- sampling algorithm
- pattern classification
- decision trees
- ensemble methods
- training dataset
- decision boundary
- data sets
- fuzzy sets
- learning process