An evaluation of Naive Bayes variants in content-based learning for spam filtering.
Alexander K. SeewaldPublished in: Intell. Data Anal. (2007)
Keyphrases
- naive bayes
- spam filtering
- text classification
- decision trees
- logistic regression
- locally weighted
- bayesian network classifiers
- learning process
- boosted decision trees
- naive bayes classifier
- probability estimation
- uci datasets
- uci data sets
- active learning
- reinforcement learning
- bayesian networks
- training data
- conditional independence assumption
- machine learning
- tree augmented naive bayes
- unsupervised learning
- rule learning
- bayesian classifier
- classification algorithm
- data sets
- knowledge representation
- classification accuracy
- prior knowledge
- learning algorithm
- information retrieval
- neural network