Detecting group concept drift from multiple data streams.
Hang YuWeixu LiuJie LuYimin WenXiangfeng LuoGuangquan ZhangPublished in: Pattern Recognit. (2023)
Keyphrases
- concept drift
- multiple data streams
- data streams
- data stream mining
- streaming data
- continuous data streams
- drifting concepts
- evolving data streams
- drift detection
- change detection
- data distribution
- sliding window
- data stream classification
- non stationary
- stream data
- incremental clustering
- batch learning
- classification algorithm
- continuous queries
- outlier detection
- machine learning
- limited memory
- data mining
- frequent itemsets