MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases.
Trinh D. D. NguyenN. T. TungLoan T. T. NguyenThiet T. PhamBay VoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- transaction databases
- high utility
- sequential patterns
- frequent patterns
- sequential pattern mining
- itemsets
- pattern mining
- frequent pattern mining
- association rules
- mining algorithm
- mining frequent itemsets
- frequent itemset mining
- frequent itemsets
- condensed representations
- mining association rules
- association rule mining
- data mining techniques
- pattern discovery
- mining frequent
- itemset mining
- uncertain data
- frequent sequences
- sequence mining
- fp tree
- interesting patterns
- emerging patterns
- frequent item sets
- data mining
- multi dimensional
- apriori algorithm
- data mining algorithms
- frequent sets
- data streams
- social networks
- candidate generation
- knowledge discovery
- data structure