Further Improving Emerging Pattern Based Classifiers Via Bagging.
Hongjian FanMing FanKotagiri RamamohanaraoMengxu LiuPublished in: PAKDD (2006)
Keyphrases
- decision trees
- ensemble learning
- majority voting
- randomized trees
- training set
- ensemble classifier
- ensemble methods
- individual classifiers
- meta learning
- classifier ensemble
- voting methods
- decision tree classifiers
- imbalanced data
- class label noise
- training data
- machine learning algorithms
- accurate classifiers
- ensemble classification
- feature selection
- random forests
- naive bayes
- learning machines
- support vector
- knn
- supervised classification
- decision stumps
- ensemble members
- base classifiers
- machine learning methods
- learning algorithm
- svm classifier
- machine learning
- weighted voting
- bootstrap sampling
- data mining
- supervised learning
- linear classifiers
- generalization error
- generalization ability
- random forest
- training examples
- test set
- base learners
- feature set
- weak classifiers
- classifier fusion
- training samples
- classification algorithm
- class labels
- prediction accuracy