Machine Learning Classifiers for Network Intrusion Detection System: Comparative Study.
Omar AlmomaniMohammed Amin AlmaiahAdeeb AlsaaidahSami SmadiAdel Hamdan MohammadAhmad AlthunibatPublished in: ICIT (2021)
Keyphrases
- comparative study
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- supervised classification
- machine learning approaches
- feature selection
- learning tasks
- computer vision
- support vector
- learning algorithm
- natural language processing
- training set
- meta learning
- pattern recognition
- training data
- linear classifiers
- multiple classifier systems
- classification models
- roc analysis
- data mining
- multi class
- class labels
- active learning
- inductive learning
- learning classifier systems
- classification rate
- binary classifiers
- data analysis
- svm classifier
- learning systems
- test set
- supervised learning
- training samples
- knowledge acquisition
- text mining
- reinforcement learning
- data sets
- artificial intelligence
- classification systems
- explanation based learning
- majority voting
- individual classifiers
- computer science
- ensemble learning
- knowledge representation
- inductive logic programming
- information extraction
- classification method
- classification algorithm
- naive bayes
- unsupervised learning
- text classification