STDS: self-training data streams for mining limited labeled data in non-stationary environment.
Shirin KhezriJafar TanhaAli AhmadiArash SharifiPublished in: Appl. Intell. (2020)
Keyphrases
- non stationary
- data streams
- concept drift
- stream mining
- continuous data streams
- data stream mining
- mining data streams
- multiple data streams
- sliding window
- white noise
- sensor networks
- adaptive algorithms
- empirical mode decomposition
- itemsets
- autoregressive
- frequent itemsets
- mining algorithm
- stream data
- streaming data
- data sets
- concept drifting
- biomedical signals
- stock price
- semi supervised learning
- denoising
- training set
- video sequences