Waterfall Traffic Classification: A Quick Approach to Optimizing Cascade Classifiers.
Pawel ForemskiChristian CallegariMichele PaganoPublished in: Wirel. Pers. Commun. (2017)
Keyphrases
- classification systems
- classification algorithm
- classification method
- support vector
- decision trees
- training set
- classification process
- class labels
- supervised classification
- classification rate
- k nearest neighbour
- accurate classification
- feature set
- final classification
- machine learning algorithms
- classification models
- svm classifier
- classification accuracy
- machine learning methods
- boosted classifiers
- discriminant functions
- multi category
- pattern recognition
- probabilistic classifiers
- majority voting
- nearest neighbor classifier
- decision boundary
- feature selection
- training samples
- training data
- ensemble classifier
- multiclass classification
- support vector machine
- multiple classifiers
- multiple classifier systems
- extracted features
- accurate classifiers
- rule based classifier
- machine learning
- improves the classification accuracy
- classification decisions
- data stream classification
- combining classifiers
- image classification
- network traffic
- cost sensitive
- decision tree classifiers
- support vector machine svm
- imbalanced data sets
- supervised learning
- support vector machine classifiers
- naive bayes
- nearest neighbour
- roc curve
- higher classification accuracy
- binary classifiers
- traffic flow