Online mining of temporal maximal utility itemsets from data streams.
Bai-En ShieVincent S. TsengPhilip S. YuPublished in: SAC (2010)
Keyphrases
- itemsets
- data streams
- frequent itemsets
- high utility
- mining algorithm
- pattern mining
- itemset mining
- association rule mining
- frequent itemset mining
- mining association rules
- frequent patterns
- data structure
- sliding window
- frequent pattern mining
- closed frequent itemsets
- apriori algorithm
- association rules
- emerging patterns
- frequent item sets
- transaction data
- mining frequent itemsets
- association patterns
- data mining algorithms
- interesting patterns
- transaction databases
- transactional databases
- frequent sets
- stream data
- stream mining
- maximal frequent itemsets
- maximal frequent
- interesting association rules
- closed patterns
- pruning strategy
- high utility itemsets
- pattern discovery
- streaming data
- data sets
- concept drift
- anti monotone
- interestingness measures
- minimum support
- graph mining
- sequential pattern mining
- closed itemsets
- pattern growth
- knowledge discovery
- discovering association rules
- sequential pattern mining algorithm
- frequent itemsets mining