Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics.
Théophile BertelootPublished in: Canadian Conference on AI (2021)
Keyphrases
- multi objective
- association rules
- high dimensional
- particle swarm optimization
- high dimensional datasets
- evolutionary algorithm
- genetic algorithm
- data mining
- association rule mining
- knowledge discovery
- multiobjective optimization
- optimization algorithm
- interesting patterns
- interesting rules
- data mining techniques
- objective function
- similarity search
- information systems
- pareto optimal
- nearest neighbor
- feature space
- multiple objectives
- multi objective optimization
- metric space
- minimum support and minimum confidence
- mining association rules
- multiobjective evolutionary algorithm
- apriori algorithm
- nsga ii
- gene expression data
- classification rules
- gene expression
- frequent patterns
- metaheuristic
- low dimensional
- optimization problems
- dimensionality reduction
- microarray data
- combinatorial optimization
- frequent itemsets
- high dimensional data
- simulated annealing
- conflicting objectives
- multiobjective genetic algorithm
- feature extraction