On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategies.
Mónica Millán-GiraldoJosé Salvador SánchezV. Javier TraverPublished in: Neural Comput. Appl. (2011)
Keyphrases
- streaming data
- data streams
- concept drift
- sliding window
- concept drifting data streams
- evolving data streams
- training data
- data stream mining
- mining data streams
- stream mining
- decision trees
- ensemble classifier
- data distribution
- support vector
- anomaly detection
- concept drifting
- classification algorithm
- classifier ensemble
- massive data streams
- ensemble learning
- continuous queries
- incoming data
- class labels
- naive bayes
- neural network
- change detection
- non stationary
- meta learning
- text categorization
- training samples
- management system
- pattern recognition
- feature extraction
- clustering algorithm
- feature selection
- data sets
- database