A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm.
Estevam R. Hruschka Jr.Eduardo R. HruschkaNelson F. F. EbeckenPublished in: Appl. Artif. Intell. (2003)
Keyphrases
- multi label
- classification rules
- text categorization
- associative classification
- feature selection
- genetic algorithm
- text classification
- genetic programming
- associative classifiers
- predictive accuracy
- classification algorithm
- ant miner
- decision trees
- association rules
- unsupervised learning
- medical data sets
- clustering algorithm
- naive bayes
- rule discovery
- rule sets
- nearest neighbor
- evolutionary algorithm
- machine learning
- data points
- fuzzy logic
- fitness function
- classification accuracy
- decision tree algorithm
- fuzzy rules
- subgroup discovery
- artificial intelligence
- action rules
- human experts
- support vector
- feature subset
- feature set
- support vector machine
- small number
- simulated annealing