MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification.
Danh Bui ThiPieter MeysmanKris LaukensPublished in: Appl. Intell. (2022)
Keyphrases
- multi objective optimization
- multi objective
- classification rules
- association rules
- evolutionary algorithm
- multi objective optimization problems
- data mining
- associative classification
- associative classifiers
- classification accuracy
- pareto optimal
- classification algorithm
- genetic algorithm
- nsga ii
- decision trees
- feature selection
- bi objective
- combining multiple
- dynamic programming
- crossover and mutation
- differential evolution
- association rule mining
- optimization algorithm
- multiple objectives
- knowledge discovery
- single objective optimization
- pareto optimal set