H-FHAUI: Hiding frequent high average utility itemsets.
Bac LeTin C. TruongHai V. DuongPhilippe Fournier-VigerHamido FujitaPublished in: Inf. Sci. (2022)
Keyphrases
- itemsets
- high utility
- frequent patterns
- minimum support threshold
- itemset mining
- frequent itemsets
- minimum support
- frequent sets
- association rules
- association rule mining
- closed patterns
- frequent pattern mining
- mining algorithm
- transaction databases
- sequential pattern mining algorithm
- pattern mining
- maximal frequent itemsets
- emerging patterns
- frequent item sets
- maximal frequent
- efficient discovery
- data structure
- support threshold
- mining association rules
- frequent itemset mining
- market basket
- data streams
- pattern growth
- condensed representations
- high utility itemsets
- transactional databases
- discovering frequent
- pruning strategy
- mining high utility itemsets
- sequential pattern mining
- high efficiency
- data mining algorithms
- mining frequent patterns
- interesting itemsets
- transaction data
- apriori algorithm
- anti monotone
- data mining
- closed item sets
- closed itemsets
- frequent closed itemsets
- multi dimensional
- sequence mining
- candidate generation