Automatic web pages categorization with ReliefF and Hidden Naive Bayes.
Xin JinRongyan LiXian ShenRongfang BiePublished in: SAC (2007)
Keyphrases
- naive bayes
- text categorization
- information gain
- decision trees
- web pages
- classification accuracy
- text classification
- naive bayes classifier
- logistic regression
- training data
- feature selection
- classification algorithm
- uci datasets
- probability estimation
- cost sensitive
- naive bayesian classifier
- bayesian networks
- search engine
- text classifiers
- averaged one dependence estimators
- uci data sets
- independence assumption
- locally weighted
- naive bayes classification
- augmented naive bayes
- bayesian classifier
- bayesian network classifiers
- probabilistic classifiers
- web documents
- naive bayes models
- machine learning
- neural network
- base classifiers
- semi supervised learning
- k nearest neighbor
- bayesian classifiers
- prior knowledge
- training set
- low variance
- support vector
- learning algorithm