Using Attribute Dependencies for Rule Learning.
Maarten van SomerenPublished in: Knowledge Representation and Organization in Machine Learning (1987)
Keyphrases
- rule learning
- attribute dependencies
- naive bayes
- subgroup discovery
- rule sets
- decision rules
- inductive logic programming
- bayesian classifier
- relational learning
- learning scheme
- learning classifier systems
- inductive learning
- text classification
- bayesian classifiers
- association rules
- machine learning
- classification rules
- hill climbing
- background knowledge
- logistic regression
- classification accuracy
- support vector
- continuous attributes
- information extraction
- information retrieval