Employing dropout regularization to classify recurring drifted data streams.
Filip GuzyMichal WozniakPublished in: IJCNN (2020)
Keyphrases
- data streams
- concept drift
- data stream classification
- sliding window
- stream data
- streaming data
- data sets
- sensor networks
- data stream mining
- mining data streams
- continuous data streams
- change detection
- data streaming
- regularization parameter
- missing values
- frequent itemsets
- itemsets
- stream mining
- anytime classification
- distributed data streams
- regularization method
- limited memory
- stream processing
- incremental learning
- data distribution
- outlier detection
- sensor data
- wireless sensor networks
- image segmentation
- feature selection