Mining decision rules on data streams in the presence of concept drifts.
Cheng-Jung TsaiChien-I LeeWei-Pang YangPublished in: Expert Syst. Appl. (2009)
Keyphrases
- decision rules
- data streams
- concept drift
- data stream mining
- mining data streams
- stream mining
- closed frequent itemsets
- streaming data
- stream data
- frequent itemsets
- concept drifting
- rough sets
- sliding window
- itemsets
- decision trees
- evolving data streams
- noisy data streams
- high speed data streams
- data distribution
- mining frequent itemsets
- data stream classification
- drifting concepts
- frequent closed itemsets
- rough set theory
- change detection
- decision table
- non stationary
- data sets
- drift detection
- stream processing
- continuous queries
- outlier detection
- limited memory
- incoming data
- text mining
- pattern recognition
- ensemble classifier
- data mining
- concept drifting data streams
- association rule mining
- classification accuracy
- control system
- training data
- image processing
- machine learning