Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector.
Kazuyuki SugimuraShinkyu JeongShigeru ObayashiTakeshi KimuraPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- rule mining
- robust optimization
- multi objective
- association rules
- trade off
- association rule mining
- evolutionary algorithm
- mathematical programming
- interesting rules
- knowledge discovery
- multi objective optimization
- interestingness measures
- data mining
- genetic algorithm
- objective function
- multiple objectives
- associative classification
- semidefinite programming
- lot sizing
- itemsets
- mining algorithm
- data mining techniques
- particle swarm optimization
- rule generation
- nsga ii
- bi objective
- linear programming
- feature vectors
- rule sets
- frequent itemsets
- decision theory
- pareto optimal
- classification rules
- minimum support
- optimization problems
- support vector machine
- data analysis
- linear program
- frequent patterns
- genetic programming
- neural network