Efficient, Accurate Internet Traffic Classification using Discretization in Naive Bayes.
Yuhai LiuZhiqiang LiShanqing GuoTaiming FengPublished in: ICNSC (2008)
Keyphrases
- naive bayes
- naive bayes classifier
- classification accuracy
- decision trees
- text classification
- classification algorithm
- probabilistic classifiers
- uci datasets
- logistic regression
- bayesian network classifiers
- bayesian classifier
- naive bayesian classifier
- augmented naive bayes
- cost sensitive
- uci data sets
- feature selection
- internet traffic
- probability estimation
- text categorization
- text classifiers
- naive bayes classification
- bayesian networks
- support vector machine
- independence assumption
- training data
- class probabilities
- continuous attributes
- combining classifiers
- averaged one dependence estimators
- probability estimates
- base classifiers
- co training
- training set
- feature space
- naive bayes models
- tree augmented naive bayes
- k nearest neighbor
- conditional independence assumption
- nominal attributes
- knn
- machine learning
- support vector
- pairwise
- supervised learning
- text mining
- bayesian classifiers
- loss function
- classification rules
- discriminative learning
- network traffic
- data sets