CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets.
Hai Van DuongTin Chi TruongBac LePhilippe Fournier-VigerPublished in: Knowl. Inf. Syst. (2024)
Keyphrases
- itemsets
- high utility
- minimum support threshold
- support threshold
- frequent itemset mining
- mining high utility itemsets
- frequent item sets
- frequent patterns
- apriori algorithm
- pattern mining
- frequent itemsets
- maximal frequent itemsets
- sequential pattern mining algorithm
- user defined
- minimum support
- frequent pattern mining
- itemset mining
- closed item sets
- algorithms for mining association rules
- association rules
- maximal frequent
- mining algorithm
- condensed representations
- pruning strategy
- downward closure property
- high utility itemsets
- association rule mining
- data streams
- knowledge discovery
- transaction databases
- data mining
- closed itemsets
- candidate generation
- frequent sets
- pattern discovery
- mining association rules
- data structure
- emerging patterns
- association rule mining algorithms
- fp tree
- frequent closed itemsets
- pattern growth
- association patterns
- closed frequent itemsets
- data mining algorithms
- sequential patterns
- incremental updating
- mining frequent
- transaction data
- high efficiency
- interesting patterns
- compact data structure
- mining frequent itemsets