Discretizing Continuous Attributes While Learning Bayesian Networks.
Nir FriedmanMoisés GoldszmidtPublished in: ICML (1996)
Keyphrases
- learning bayesian networks
- continuous attributes
- statistical data
- bayesian networks
- structure learning
- discretization method
- incomplete data
- conditional independence
- classification rules
- attribute values
- continuous domains
- numerical data
- naive bayes classifier
- rule extraction
- decision trees
- directed graph
- databases
- data analysis
- machine learning
- neural network