On the estimation of frequent itemsets for data streams: theory and experiments.
Pierre-Alain LaurRichard NockJean-Emile SymphorPascal PonceletPublished in: CIKM (2005)
Keyphrases
- frequent itemsets
- data streams
- itemsets
- mining frequent itemsets
- frequent itemset mining
- sliding window
- association rule mining
- frequent itemsets mining
- mining algorithm
- closed frequent itemsets
- concise representation
- streaming data
- itemset mining
- frequent closed itemsets
- concept drift
- mining association rules
- condensed representations
- data distribution
- mining maximal frequent itemsets
- discovery of association rules
- uncertain data
- minimum support
- mining of frequent itemsets
- maximal frequent itemsets
- closed itemsets
- constraint based mining
- space efficient
- pruning strategy
- data sets
- transaction data
- transactional databases
- frequent pattern mining
- mining frequent patterns
- outlier detection
- transaction databases
- frequent patterns
- frequent itemset discovery
- data structure
- generalized association rules
- algorithms for mining association rules
- prefix tree
- stream mining
- data stream mining
- stream data
- interesting patterns
- tree structure
- rough sets
- association rules
- data mining