An efficient strategy for mining high-efficiency itemsets in quantitative databases.
Bao HuynhN. T. TungTrinh D. D. NguyenQuang-Thinh BuiLoan T. T. NguyenUnil YunBay VoPublished in: Knowl. Based Syst. (2024)
Keyphrases
- closed frequent itemsets
- high efficiency
- itemsets
- frequent itemsets
- databases
- closed itemsets
- transaction databases
- mining algorithm
- mining frequent itemsets
- data streams
- frequent itemset mining
- association rule mining
- high accuracy
- itemset mining
- association rules
- mining association rules
- pattern mining
- database
- data structure
- frequent patterns
- frequent item sets
- interesting itemsets
- frequent pattern mining
- minimum support
- transactional databases
- pruning strategy
- emerging patterns
- high utility itemsets
- high utility
- frequent sets
- knowledge discovery
- maximal frequent itemsets
- compact data structure
- candidate generation
- data mining
- interesting association rules
- interesting patterns
- sequential pattern mining algorithm
- transaction data
- apriori algorithm
- data mining algorithms
- algorithms for mining association rules
- anti monotone
- data stream mining
- data warehouse
- sequential pattern mining
- outlier detection