Tunable Plug-In Rules with Reduced Posterior Certainty Loss in Imbalanced Datasets.
Emmanouil KrasanakisEleftherios Spyromitros XioufisSymeon PapadopoulosYiannis KompatsiarisPublished in: LIDTA@PKDD/ECML (2017)
Keyphrases
- imbalanced datasets
- learning from imbalanced data
- cost sensitive learning
- class distribution
- decision trees
- rule extraction
- imbalanced data
- class imbalance
- ensemble methods
- bayesian framework
- rule sets
- sampling methods
- probability distribution
- probabilistic model
- neural network
- decision rules
- feature selection algorithms
- classification rules
- training dataset
- association rules
- machine learning