On packet classification using a decision-tree ensemble.
Dubem EzehPublished in: StudentWorkshop@CoNEXT (2020)
Keyphrases
- decision trees
- decision tree classifiers
- ensemble methods
- predictive accuracy
- training set
- random forest
- machine learning
- feature selection
- classification rules
- classification accuracy
- ensemble classifier
- pattern recognition
- machine learning algorithms
- random forests
- decision tree algorithm
- decision tree induction
- final classification
- classification models
- support vector machine svm
- feature space
- machine learning methods
- feature construction
- attribute selection
- learning algorithm
- support vector
- base classifiers
- classification algorithm
- naive bayes
- feature set
- text classification
- binary classification problems
- ensemble classification
- decision tree algorithms
- training data
- decision tree learning
- supervised learning
- majority voting
- classifier ensemble
- information gain
- decision rules
- model selection
- image classification
- multi class
- wrapper feature selection
- concept drifting data streams
- decision tree learning algorithm
- feature extraction
- cross validation
- neural network
- svm classifier
- feature vectors
- multiple classifiers
- classifier combination
- imbalanced data
- weak learners
- classification method
- concept drift
- regression problems