Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets.
Florian VerheinSanjay ChawlaPublished in: ICDM (2007)
Keyphrases
- associative classification
- imbalanced datasets
- association rule mining
- classification rules
- association rules
- privacy preservation
- associative classifiers
- emerging patterns
- decision trees
- rule sets
- multi label
- class distribution
- cost sensitive learning
- ensemble methods
- privacy preserving
- class imbalance
- rule extraction
- sampling methods
- data mining techniques
- data mining
- text categorization
- knowledge discovery
- genetic programming
- graph cuts
- frequent itemsets
- error rate