Minimization of decision trees is hard to approximate.
Detlef SielingPublished in: J. Comput. Syst. Sci. (2008)
Keyphrases
- decision trees
- decision tree induction
- machine learning
- naive bayes
- objective function
- logistic regression
- decision rules
- ensemble methods
- search engine
- random forest
- classification rules
- minimization problems
- real time
- decision tree algorithm
- rule induction
- feature set
- classification accuracy
- support vector
- training data
- databases