Generating Smaller Decision Trees for Understandability Using Frequent Attributes.
Hyontai SugPublished in: IKE (2003)
Keyphrases
- machine learning
- decision trees
- attribute selection
- decision table
- feature construction
- naive bayes
- decision tree induction
- decision tree algorithm
- rule sets
- predictive accuracy
- multi attribute
- logistic regression
- attribute values
- random forest
- decision rules
- leaf nodes
- high predictive accuracy
- decision tree learning
- training set
- neural network
- data mining methods
- data objects
- frequent patterns
- software quality
- information gain
- text classification
- multiple attributes
- bayesian networks