Mining Concept Drifts from Data Streams Based on Multi-Classifiers.
Yue SunGuojun MaoXu LiuChunnian LiuPublished in: AINA Workshops (2) (2007)
Keyphrases
- concept drift
- data streams
- concept drifting
- data stream classification
- mining data streams
- data stream mining
- stream mining
- stream data
- streaming data
- closed frequent itemsets
- ensemble classifier
- concept drifting data streams
- ensemble learning
- drifting concepts
- sliding window
- classification algorithm
- noisy data streams
- high speed data streams
- noisy data
- data distribution
- evolving data streams
- drift detection
- frequent itemsets
- itemsets
- ensemble classification
- frequent closed itemsets
- change detection
- mining frequent itemsets
- non stationary
- data sets
- classifier ensemble
- sensor data
- support vector
- sequential patterns
- decision trees
- training examples
- limited memory
- text mining
- training data
- machine learning