TunnelScanner: A Novel Approach For Tunnel Mixed Traffic Classification Using Machine Learning.
Panpan ZhaoZhen LiMingxin CuiJie LuGang XiongGaopeng GouPublished in: HPCC/DSS/SmartCity/DependSys (2021)
Keyphrases
- machine learning
- machine learning methods
- supervised machine learning
- supervised learning
- decision trees
- pattern recognition
- text classification
- machine learning algorithms
- support vector machine svm
- classification method
- classification accuracy
- supervised classification
- machine learning approaches
- artificial intelligence
- support vector machine
- information extraction
- decision rules
- statistical learning
- automatic classification
- feature construction
- model selection
- data mining
- learning algorithm
- feature selection
- feature vectors
- reinforcement learning
- unsupervised learning
- preprocessing
- learning tasks
- classification process
- classification systems
- feature extraction
- classification scheme
- network traffic
- knowledge discovery
- natural language processing
- benchmark datasets
- image classification
- real time
- text categorization
- training samples