MOSAR: A Multi-Objective Strategy for Hiding Sensitive Association Rules Using Genetic Algorithm.
Farzad Nourmohammadzadeh MotlaghHedieh SajediPublished in: Appl. Artif. Intell. (2016)
Keyphrases
- multi objective
- genetic algorithm
- association rules
- evolutionary algorithm
- multi objective optimization
- optimization algorithm
- association rule mining
- evolutionary strategy
- particle swarm optimization
- multiobjective optimization
- multiple objectives
- data mining
- classification rules
- nsga ii
- objective function
- conflicting objectives
- evolutionary optimization
- association mining
- selection strategy
- mining association rules
- fitness function
- multiobjective evolutionary algorithm
- mining algorithm
- decision making
- frequent itemsets
- genetic operators
- particle swarm
- optimum design
- multi objective optimization problems
- multi objective evolutionary algorithms
- pareto optimal
- knowledge discovery
- data mining techniques
- evolutionary computation
- apriori algorithm
- mutation operator
- crossover operator
- formal concept analysis
- simulated annealing
- optimization method
- metaheuristic
- multi objective evolutionary
- protect sensitive