Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting.
Nir FriedmanMoisés GoldszmidtThomas J. LeePublished in: ICML (1998)
Keyphrases
- continuous attributes
- discretization method
- naive bayes classifier
- discretization methods
- classification rules
- bayesian networks
- continuous data
- rule extraction
- naive bayes
- decision rules
- classification accuracy
- numeric attributes
- decision trees
- bayesian network classifiers
- text classification
- preprocessing step
- training set
- pattern recognition
- neural network
- classification algorithm
- support vector
- attribute values
- continuous variables
- training samples
- feature vectors
- association rules
- machine learning
- black box
- continuous domains
- graphical models
- feature set
- preprocessing