Active Learning Classification of Drifted Streaming Data.
Michal WozniakPawel KsieniewiczBoguslaw CyganekAndrzej KasprzakKrzysztof WalkowiakPublished in: ICCS (2016)
Keyphrases
- streaming data
- active learning
- data streams
- concept drifting data streams
- sliding window
- selective sampling
- concept drift
- pattern recognition
- text classification
- decision trees
- classification algorithm
- training set
- supervised learning
- classification accuracy
- feature vectors
- machine learning
- feature extraction
- feature selection
- massive data streams
- database
- knn
- support vector
- non stationary
- unsupervised learning
- multi dimensional
- support vector machine
- class imbalance
- data stream mining
- data structure
- training data