A multiobjective variant of the Subdue graph mining algorithm based on the NSGA-II selection mechanism.
Prakash ShelokarArnaud QuirinOscar CordónPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- mining algorithm
- multi objective
- selection mechanism
- nsga ii
- graph mining
- pattern mining
- multiobjective optimization
- multi objective optimization
- evolutionary algorithm
- multiobjective evolutionary algorithm
- pareto optimal
- graph databases
- multiobjective optimization problems
- pattern discovery
- optimization algorithm
- itemsets
- frequent patterns
- sequential patterns
- tree structure
- graph data
- uniform design
- association rule mining
- interesting patterns
- test problems
- association rules
- genetic algorithm
- bi objective
- multi objective optimization problems
- evolutionary multiobjective
- frequent itemsets
- objective function
- multi objective optimisation
- multiple objectives
- multi objective evolutionary algorithms
- crossover operator
- pareto optimal solutions
- pareto fronts
- data mining
- optimal solution
- optimization problems
- particle swarm optimization
- frequent pattern mining
- data mining algorithms
- knapsack problem
- strength pareto evolutionary algorithm
- pareto dominance
- multi objective problems
- data mining techniques
- structured data
- pareto optimal set
- data points
- pareto frontier
- simulated annealing
- fitness function
- swarm intelligence