Using instance-weighted naive Bayes for adapting concept drift in masquerade detection.
Sevil SenPublished in: Int. J. Inf. Sec. (2014)
Keyphrases
- naive bayes
- concept drift
- classification algorithm
- decision trees
- augmented naive bayes
- classification accuracy
- naive bayes classifier
- change detection
- text classification
- logistic regression
- text categorization
- data streams
- training data
- cost sensitive
- non stationary
- bayesian network classifiers
- bayesian networks
- ensemble classifier
- averaged one dependence estimators
- feature selection
- class imbalance
- class distribution
- base classifiers
- feature extraction
- benchmark datasets
- pairwise