Top-down induction of decision trees classifiers - a survey.
Lior RokachOded MaimonPublished in: IEEE Trans. Syst. Man Cybern. Part C (2005)
Keyphrases
- decision trees
- naive bayes
- machine learning algorithms
- training data
- predictive accuracy
- logistic regression
- decision tree induction
- decision tree classifiers
- random forest
- training set
- classification models
- high predictive accuracy
- associative classifiers
- classification trees
- machine learning
- meta learning
- classification rules
- combining classifiers
- induction algorithms
- nearest neighbour
- ensemble methods
- classification algorithm
- support vector
- bayes classifier
- decision tree algorithm
- feature construction
- data sets
- concept drifting data streams
- data mining methods
- feature selection
- decision tree learning
- multiple classifiers
- training samples
- feature extraction
- decision rules
- bayesian classifier
- training examples
- random forests