An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams.
Mohammad Javad HosseiniAmeneh GholipourHamid BeigyPublished in: Knowl. Inf. Syst. (2016)
Keyphrases
- non stationary
- semi supervised classification
- concept drift
- ensemble classifier
- data streams
- concept drifting
- semi supervised learning
- training data
- semi supervised
- unlabeled data
- labeled data
- stream data
- co training
- training set
- classifier ensemble
- labeled and unlabeled data
- supervised classification
- decision trees
- learning algorithm
- data sets
- training examples
- pairwise constraints
- training samples
- supervised learning
- active learning
- ensemble methods
- empirical mode decomposition
- class distribution
- machine learning algorithms
- linear classifiers
- feature vectors
- high dimensional