Ensembles of jittered association rule classifiers.
Paulo J. AzevedoAlípio Mário JorgePublished in: Data Min. Knowl. Discov. (2010)
Keyphrases
- association rules
- ensemble learning
- decision trees
- diversity measures
- classifier ensemble
- ensemble classifier
- multiple classifier systems
- weighted voting
- training data
- ensemble methods
- combining classifiers
- imbalanced data
- support vector
- ensemble members
- individual classifiers
- naive bayes
- association rule mining
- data mining
- decision stumps
- random forests
- classifier combination
- multiple classifiers
- associative classifiers
- training set
- machine learning algorithms
- classification models
- machine learning methods
- trained classifiers
- random forest
- feature selection
- training samples
- rule sets
- classification systems
- majority voting
- feature ranking
- svm classifier
- frequent itemsets
- apriori algorithm
- base classifiers
- multi class
- weak classifiers
- machine learning
- neural network
- roc curve