Improved Feature Selection and Stream Traffic Classification Based on Machine Learning in Software-Defined Networks.
Arwa M. EldhaiMosab HamdanAhmed AbdelazizIbrahim Abaker Targio HashemSharief F. BabikerMuhammad N. MarsonoMuzaffar HamzahNoor Zaman JhanjhiPublished in: IEEE Access (2024)
Keyphrases
- machine learning
- feature selection
- text classification
- classification accuracy
- pattern recognition
- model selection
- support vector machine
- machine learning methods
- feature set
- machine learning algorithms
- feature selection algorithms
- feature extraction
- supervised machine learning
- classification models
- data streams
- support vector
- telecommunication networks
- real time
- irrelevant features
- text categorization
- software systems
- feature space
- classification performances
- supervised learning
- decision trees
- feature subset
- unsupervised learning
- high dimensionality
- supervised classification
- feature ranking
- naive bayes
- method for feature selection
- multi class
- learning algorithm
- learning tasks
- network traffic
- traffic engineering
- active learning
- feature generation
- data mining
- feature selection and classification
- wrapper feature selection
- small sample
- discriminative features
- support vector machine svm
- semi supervised
- knn