Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining.
Fumito UwanoKoji DobashiKeiki TakadamaTim KovacsPublished in: GECCO (Companion) (2018)
Keyphrases
- learning classifier systems
- random forest
- rule discovery
- high dimensional
- data mining
- random forests
- decision trees
- genetic algorithm
- feature set
- ensemble methods
- rule sets
- real valued
- machine learning
- multi label
- evolutionary algorithm
- association rules
- evolutionary computation
- base classifiers
- data mining techniques
- knowledge discovery
- data analysis
- high dimensional data
- reinforcement learning
- data mining algorithms
- computational intelligence
- prior knowledge
- ensemble classifier
- information retrieval
- decision tree learning algorithms