Distributed Ensemble Learning in Text Classification.
Catarina SilvaBernardete RibeiroUros LotricAndrej DobnikarPublished in: ICEIS (2) (2008)
Keyphrases
- ensemble learning
- text classification
- unlabeled data
- feature selection
- generalization ability
- ensemble methods
- text categorization
- machine learning
- random forest
- labeled data
- ensemble classifier
- text mining
- concept drift
- naive bayes
- multi label
- base classifiers
- weak learners
- change detection
- k nearest neighbor
- semi supervised
- support vector
- bayesian networks
- feature extraction
- information retrieval