Combining decision tree and Naive Bayes for classification.
Limin WangXiao-Lin LiChunhong CaoSenmiao YuanPublished in: Knowl. Based Syst. (2006)
Keyphrases
- naive bayes
- decision trees
- classification accuracy
- classification algorithm
- naive bayes classifier
- text classification
- combining classifiers
- logistic regression
- uci datasets
- decision rules
- uci data sets
- feature selection
- cost sensitive
- naive bayesian classifier
- bayesian classifier
- probability estimation
- class probabilities
- decision tree learners
- bayesian network classifiers
- training data
- probabilistic classifiers
- text categorization
- classification rules
- decision tree learning algorithm
- text classifiers
- machine learning
- ensemble methods
- classification models
- training set
- test instances
- naive bayes models
- naive bayes classification
- decision tree learning algorithms
- information gain
- random forest
- base classifiers
- machine learning algorithms
- classification trees
- neural network
- bayesian classifiers
- highly skewed
- tree augmented naive bayes
- supervised learning
- averaged one dependence estimators
- kernel density estimators
- feature extraction
- bayesian networks
- support vector
- pairwise
- data sets
- document classification
- independence assumption