A two-phase evolutionary algorithm for multiobjective mining of classification rules.
Yung-Hsiang ChanTsung-Che ChiangLi-Chen FuPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- evolutionary algorithm
- classification rules
- multi objective
- genetic programming
- evolutionary computation
- multi objective optimization
- discovered knowledge
- optimization problems
- optimization algorithm
- association rules
- differential evolution
- subgroup discovery
- fitness function
- particle swarm optimization
- rule discovery
- discovered rules
- nearest neighbor
- rule sets
- decision trees
- genetic algorithm
- ant miner
- associative classification
- nsga ii
- knowledge discovery
- data mining
- classification algorithm
- interestingness measures
- mining algorithm
- simulated annealing
- pattern mining
- fuzzy rules
- frequent itemsets
- associative classifiers
- data mining techniques
- association rule mining
- frequent patterns
- itemsets
- human experts
- learning classifier systems
- evolution strategy
- text mining