Highly Scalable Attribute Selection for Averaged One-Dependence Estimators.
Shenglei ChenAna M. MartínezGeoffrey I. WebbPublished in: PAKDD (2) (2014)
Keyphrases
- attribute selection
- highly scalable
- averaged one dependence estimators
- naive bayes
- decision trees
- decision tree induction
- classification accuracy
- information gain
- text classification
- probability estimation
- training data
- feature selection
- classification algorithm
- bayesian networks
- text categorization
- neural network
- classification models
- bayesian classifier
- machine learning
- naive bayesian classifier
- real valued
- software development
- semi supervised
- support vector machine
- active learning
- data mining