Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints.
Mohammad M. MasudJing GaoLatifur KhanJiawei HanBhavani M. ThuraisinghamPublished in: IEEE Trans. Knowl. Data Eng. (2011)
Keyphrases
- concept drifting data streams
- concept drift
- decision trees
- drift detection
- classifier ensemble
- inductive learning algorithms
- support vector
- feature extraction
- training samples
- machine learning algorithms
- benchmark datasets
- feature space
- feature vectors
- classification accuracy
- supervised learning
- classification models
- incremental learning
- machine learning
- machine learning methods
- classification algorithm
- class labels
- support vector machine svm
- support vector machine
- training set
- data streams