A Hybrid Decision Support Tool - Using Ensemble of Classifiers.
Sotiris B. KotsiantisPanayiotis E. PintelasPublished in: ICEIS (2) (2004)
Keyphrases
- ensemble learning
- ensemble classifier
- classifier ensemble
- multiple classifiers
- ensemble pruning
- majority voting
- training data
- training set
- combining classifiers
- decision tree classifiers
- ensemble methods
- final classification
- class label noise
- weighted voting
- majority vote
- individual classifiers
- weak learners
- support vector
- diversity measures
- test set
- decision trees
- random forest
- neural network
- pruning method
- randomized trees
- multiple classifier systems
- feature selection
- naive bayes
- accurate classifiers
- mining concept drifting data streams
- classifier fusion
- classification systems
- concept drifting data streams
- ensemble classification
- ensemble members
- imbalanced data
- linear classifiers
- rule induction algorithm
- linear support vector machines
- knn
- support vector machine
- feature set
- base classifiers
- classifier combination
- feature ranking
- roc curve
- binary classifiers