A framework for application-driven classification of data streams.
Peng ZhangByron J. GaoPing LiuYong ShiLi GuoPublished in: Neurocomputing (2012)
Keyphrases
- data streams
- pattern recognition
- sliding window
- feature selection
- classification accuracy
- pattern recognition tasks
- machine learning
- video classification
- automatic classification
- support vector machine svm
- feature extraction
- image classification
- decision trees
- support vector
- pattern classification
- benchmark datasets
- theoretical framework
- classification algorithm
- concept drift
- change detection
- classification rules
- classification method
- feature vectors
- feature set
- training samples
- main contribution
- itemsets
- data driven