Survey of Improving Naive Bayes for Classification.
Liangxiao JiangDianhong WangZhihua CaiXuesong YanPublished in: ADMA (2007)
Keyphrases
- naive bayes
- classification accuracy
- decision trees
- text classification
- naive bayes classifier
- classification algorithm
- probabilistic classifiers
- uci datasets
- naive bayesian classifier
- feature selection
- text classifiers
- bayesian classifier
- logistic regression
- uci data sets
- probability estimation
- class probabilities
- cost sensitive
- text categorization
- bayesian network classifiers
- augmented naive bayes
- combining classifiers
- training data
- document classification
- naive bayes models
- support vector machine
- tree augmented naive bayes
- support vector
- training set
- naive bayes classification
- feature set
- bayesian classifiers
- machine learning
- conditional independence assumption
- bayesian networks
- classifier combination
- semi supervised
- text mining
- probability estimates
- locally weighted
- test instances
- independence assumption
- learning algorithm
- training samples
- machine learning methods
- base classifiers
- averaged one dependence estimators
- data sets