Improvements to Boosting with Data Streams.
Erico N. de SouzaStan MatwinPublished in: Canadian Conference on AI (2013)
Keyphrases
- data streams
- sliding window
- streaming data
- concept drift
- sensor networks
- evolving data streams
- incoming data
- learning algorithm
- stream data
- change detection
- itemsets
- data sets
- data distribution
- feature space
- weak classifiers
- mining data streams
- continuous data streams
- boosting algorithms
- heavy hitters
- outlier detection
- cost sensitive
- limited memory
- feature selection
- anytime classification
- distributed data streams
- data streaming
- data stream mining
- weak learners
- training data
- ensemble classifier
- continuous queries
- ensemble methods
- sensor data