Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts.
Yong WangZhanhuai LiYang ZhangLongbo ZhangYun JiangPublished in: ADMA (2006)
Keyphrases
- data stream classification
- data streams
- data stream mining
- concept drift
- stream mining
- mining data streams
- continuous data streams
- streaming data
- closed frequent itemsets
- transactional data
- concept drifting
- multiple data streams
- itemsets
- frequent itemsets
- mining frequent itemsets
- data mining
- sliding window
- high speed data streams
- mining concept drifting data streams
- change detection
- classification algorithm
- ensemble classifier
- knowledge discovery
- frequent closed itemsets
- data mining techniques
- stream data
- continuous queries
- missing values
- data stream management systems
- linear classifiers
- outlier detection
- mining of frequent itemsets
- data mining methods
- feature selection
- data structure
- decision trees
- non stationary
- distributed data streams
- data sets
- support vector
- spatio temporal
- text mining
- web mining
- uncertain data
- mining algorithm
- pattern mining