Effective classification of noisy data streams with attribute-oriented dynamic classifier selection.
Xingquan ZhuXindong WuYing YangPublished in: Knowl. Inf. Syst. (2006)
Keyphrases
- attribute oriented
- dynamic classifier selection
- decision rules
- pattern recognition
- decision trees
- text classification
- classification systems
- classification accuracy
- feature selection
- machine learning methods
- feature vectors
- multiple classifier systems
- rule induction
- machine learning
- class labels
- feature space
- feature extraction
- support vector
- classification algorithm
- benchmark datasets
- training samples
- concept drift
- co occurrence
- supervised learning
- support vector machine
- concept drifting data streams
- training set