Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
M. Julia FloresJosé A. GámezAna M. MartínezJosé Miguel PuertaPublished in: Appl. Intell. (2011)
Keyphrases
- bayesian network classifiers
- discretization method
- numeric attributes
- naive bayes classifier
- bayesian classifiers
- continuous attributes
- naive bayes
- decision trees
- text classification
- bayesian networks
- association rules
- discriminative learning
- subgroup discovery
- benchmark data sets
- structure learning
- class imbalance
- continuous variables
- feature selection
- probability estimation
- text categorization
- classification accuracy
- discrete data
- data sets
- bayesian classifier
- logistic regression
- support vector machine
- feature extraction
- data mining