Improving classification accuracy of associative classifiers by using k-conflict-rule preservation.
Ming-Yen LinTsung-Che LiSue-Chen HsuehPublished in: ICUIMC (2013)
Keyphrases
- improving classification accuracy
- associative classifiers
- classification rules
- association rules
- associative classification
- rule sets
- classification accuracy
- genetic programming
- rule extraction
- association rule mining
- support vector machine
- decision trees
- cross validation
- knowledge discovery
- classification algorithm
- rule induction
- bayesian classifiers
- genetic algorithm
- data sets
- rough sets
- privacy preservation
- accurate classifiers
- bayesian networks