Machine Learning for Text Anomaly Detection: A Systematic Review.
Karima BoutalbiFaiza LoukilHervé VerjusDavid TelissonKavé SalamatianPublished in: COMPSAC (2023)
Keyphrases
- anomaly detection
- systematic review
- machine learning
- network anomaly detection
- intrusion detection
- text mining
- empirical studies
- network intrusion detection
- detecting anomalies
- anomalous behavior
- intrusion detection system
- computer security
- network traffic
- unsupervised learning
- unsupervised anomaly detection
- natural language processing
- information retrieval
- pattern recognition
- network security
- decision trees
- behavior analysis
- one class support vector machines
- knowledge discovery
- detect anomalies
- network intrusion
- supervised learning
- connectionist systems
- computational intelligence
- data analysis
- maximum entropy
- active learning
- support vector machine
- reinforcement learning
- bayesian networks
- information extraction
- clustering algorithm
- learning algorithm
- cumulative sum