Active Learning Classifier for Streaming Data.
Michal WozniakBoguslaw CyganekAndrzej KasprzakPawel KsieniewiczKrzysztof WalkowiakPublished in: HAIS (2016)
Keyphrases
- streaming data
- active learning
- data streams
- concept drift
- sliding window
- training examples
- training set
- classification algorithm
- ensemble classifier
- data distribution
- data stream mining
- learning algorithm
- evolving data streams
- stream mining
- training data
- massive data streams
- streaming time series
- anomaly detection
- feature selection
- decision trees
- support vector
- ensemble learning
- support vector machine
- stream data
- class labels
- mining data streams
- learning process
- continuous queries
- feature space
- classifier ensemble
- training samples
- feature set
- semi supervised
- change detection
- labeled data
- semi supervised learning
- concept drifting data streams
- machine learning