A Decision Tree-Based Approach to Mining the Rules of Concept Drift.
Chien-I LeeCheng-Jung TsaiJhe-Hao WuWei-Pang YangPublished in: FSKD (4) (2007)
Keyphrases
- concept drift
- decision trees
- data stream mining
- data streams
- stream mining
- streaming data
- classification rules
- drift detection
- drifting concepts
- concept descriptions
- non stationary
- data distribution
- change detection
- classification algorithm
- data stream classification
- stream data
- target concept
- ensemble classifier
- itemsets
- concept drifting
- association rules
- batch learning
- machine learning
- evolving data streams
- frequent itemsets
- data sets
- data mining
- text mining
- induction algorithms
- knowledge discovery
- image processing
- data analysis
- sequential patterns
- machine learning algorithms
- naive bayes
- neural network