A fast algorithm for mining high average-utility itemsets.
Jerry Chun-Wei LinShifeng RenPhilippe Fournier-VigerTzung-Pei HongJa-Hwung SuBay VoPublished in: Appl. Intell. (2017)
Keyphrases
- itemsets
- frequent itemsets
- high utility
- mining algorithm
- itemset mining
- association rule mining
- mining association rules
- pattern mining
- frequent itemset mining
- association rules
- emerging patterns
- frequent patterns
- transactional databases
- frequent item sets
- high utility itemsets
- mining frequent itemsets
- frequent pattern mining
- data structure
- data streams
- transaction data
- interesting association rules
- apriori algorithm
- closed patterns
- data mining algorithms
- sequential pattern mining
- transaction databases
- closed frequent itemsets
- interesting patterns
- frequent closed itemsets
- mining frequent patterns
- frequent sets
- association patterns
- association rules mining
- data mining techniques
- association mining
- discovering association rules
- maximal frequent
- interesting itemsets
- maximal frequent itemsets
- algorithms for mining association rules
- data mining
- minimum support
- pruning strategy
- anti monotone
- closed itemsets
- pattern growth
- constraint programming
- interestingness measures
- mining high utility itemsets