Hybrid active learning for non-stationary streaming data with asynchronous labeling.
Hyunjoo KimSriganesh MadhvanathTong SunPublished in: IEEE BigData (2015)
Keyphrases
- non stationary
- streaming data
- active learning
- concept drift
- data streams
- evolving data streams
- active learning strategies
- data stream mining
- sliding window
- semi supervised
- machine learning
- labeled data
- supervised learning
- training set
- training examples
- data distribution
- adaptive algorithms
- anomaly detection
- learning algorithm
- stream mining
- stream data
- massive data streams
- data sets
- incoming data
- empirical mode decomposition
- unlabeled data
- semi supervised learning
- wavelet transform
- change detection
- change point detection
- principal component analysis