Mining Recent Frequent Itemsets over Data Streams with a Time-Sensitive Sliding Window.
Long JinDuckjin ChaiJun Wook LeeKeun Ho RyuPublished in: APWeb/WAIM Workshops (2007)
Keyphrases
- data streams
- sliding window
- frequent itemsets
- closed frequent itemsets
- itemsets
- mining frequent itemsets
- mining algorithm
- frequent itemset mining
- association rule mining
- streaming data
- transactional databases
- concise representation
- frequent closed itemsets
- frequent patterns
- concept drift
- fixed size
- mining data streams
- stream data
- data distribution
- stream mining
- mining association rules
- space efficient
- uncertain data
- closed itemsets
- condensed representations
- transaction databases
- continuous queries
- frequent itemsets mining
- frequent set mining
- data sets
- minimum support
- limited memory
- maximal frequent itemsets
- itemset mining
- frequent pattern mining
- high speed data streams
- discovery of association rules
- generalized association rules
- emerging patterns
- data stream mining
- transactional data
- frequent item sets
- interesting patterns
- mining frequent patterns
- fp tree
- transaction data
- pattern mining
- pruning strategy
- knowledge discovery
- pattern growth
- candidate generation
- association rules
- data mining