Statistical Supports for Frequent Itemsets on Data Streams.
Pierre-Alain LaurJean-Emile SymphorRichard NockPascal PonceletPublished in: MLDM (2005)
Keyphrases
- frequent itemsets
- data streams
- itemsets
- mining frequent itemsets
- association rule mining
- frequent itemset mining
- mining algorithm
- sliding window
- frequent itemsets mining
- uncertain data
- association rules
- closed frequent itemsets
- itemset mining
- concept drift
- space efficient
- discovery of association rules
- streaming data
- stream data
- frequent closed itemsets
- transactional databases
- closed itemsets
- mining association rules
- minimum support
- data distribution
- condensed representations
- frequent patterns
- constraint based mining
- data sets
- mining maximal frequent itemsets
- data stream mining
- mining frequent patterns
- data structure
- discovering association rules
- fp tree
- maximal frequent itemsets
- transaction databases
- stream processing
- frequent pattern mining
- prefix tree
- dense datasets
- deduction rules
- pruning strategy
- apriori algorithm
- frequent set mining
- mining of frequent itemsets
- frequent itemset discovery