Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions.
Jun ZhangChao ChenYang XiangWanlei ZhouYong XiangPublished in: IEEE Trans. Inf. Forensics Secur. (2013)
Keyphrases
- naive bayes
- classification accuracy
- decision trees
- naive bayes classifier
- text classification
- classification algorithm
- probabilistic classifiers
- probability estimates
- uci datasets
- augmented naive bayes
- naive bayesian classifier
- internet traffic
- bayesian classifier
- text classifiers
- cost sensitive
- uci data sets
- feature selection
- logistic regression
- probability estimation
- naive bayes models
- text categorization
- bayesian network classifiers
- averaged one dependence estimators
- training data
- combining classifiers
- bayesian networks
- machine learning
- support vector
- training set
- conditional independence assumption
- network traffic
- independence assumption
- bayesian classifiers
- feature vectors
- neural network
- base classifiers
- intrusion detection
- classification models
- ensemble methods
- continuous variables
- model selection
- feature extraction
- unsupervised learning
- knn
- labeled data
- naive bayes classification
- anomaly detection