An Empirical Study of Unsupervised Rule Set Extraction of Clustered Categorical Data Using a Simulated Bee Colony Algorithm.
James D. McCaffreyHoward DierkingPublished in: RuleML (2009)
Keyphrases
- categorical data
- learning algorithm
- clustering method
- hierarchical latent class models
- distance based outlier detection
- similarity measure
- supervised learning
- numerical data
- swarm intelligence
- association rules
- active learning
- data mining
- genetic programming
- k means
- classification algorithm
- expert systems
- artificial intelligence
- parameter free
- foraging behavior
- genetic algorithm
- machine learning