Discovering dependencies among mined association rules with population-based metaheuristics.
Iztok Fister Jr.Akemi GálvezEneko OsabaJavier Del SerAndrés IglesiasIztok FisterPublished in: GECCO (Companion) (2019)
Keyphrases
- association rules
- market basket analysis
- particle swarm optimization
- combinatorial optimization
- simulated annealing
- association rule mining
- data mining
- association mining
- apriori algorithm
- knowledge discovery
- metaheuristic
- mining association rules
- tabu search
- frequent itemsets
- mining algorithm
- dependency analysis
- itemsets
- data mining techniques
- optimization problems
- ant colony optimization
- association rules mining
- market basket data
- frequent patterns
- differential evolution
- rule sets
- vehicle routing problem
- neural network
- discovered rules
- mining of association rules
- discovery process
- classification rules
- multi objective
- genetic algorithm
- minimum support
- associative classification
- scatter search
- frequent itemset mining
- rule mining
- solution space
- numeric attributes
- discovering interesting
- databases
- discovering association rules