Hiding sensitive frequent itemsets by item removal via two-level multi-objective optimization.
Mira LefkirFarid NouiouaPhilippe Fournier-VigerPublished in: Appl. Intell. (2023)
Keyphrases
- multi objective optimization
- frequent itemsets
- multi objective
- itemsets
- frequent itemset mining
- evolutionary algorithm
- association rule mining
- association rules
- mining frequent itemsets
- mining algorithm
- frequent itemsets mining
- data streams
- data structure
- differential evolution
- pareto optimal
- multi objective optimization problems
- bi objective
- concise representation
- multiple objectives
- genetic algorithm
- closed itemsets
- uncertain data
- itemset mining
- condensed representations
- discovery of association rules
- minimum support
- frequent patterns
- complex optimization problems
- frequent set mining
- transactional databases
- discovering association rules
- mining frequent patterns
- transaction databases
- pruning strategy
- frequent itemset discovery
- data mining
- multi objective evolutionary algorithms
- nsga ii
- transaction data
- objective function
- dense datasets
- frequent closed itemsets
- multi objective genetic algorithm
- closed frequent itemsets
- pattern mining
- optimization algorithm
- optimization problems
- knowledge discovery
- frequent item sets
- anti monotone
- apriori algorithm
- mining association rules
- multi objective genetic algorithms
- pareto frontier
- real world