Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier.
Jan-Nikolas SulzmannJohannes FürnkranzPublished in: Discovery Science (2011)
Keyphrases
- rule sets
- ensemble learning
- decision trees
- rule induction algorithm
- rule learning
- combining classifiers
- rule learner
- error rate
- classification rules
- decision rules
- learning classifier systems
- base classifiers
- rule generation
- rule induction
- association rules
- multiple classifiers
- classifier ensemble
- training data
- rough set theory
- fuzzy rules
- feature selection
- neural network
- medical data sets
- ensemble methods
- training set
- data mining algorithms
- learning algorithm
- membership functions
- relational learning
- subgroup discovery
- data analysis
- pattern recognition
- data mining
- real world