Real time dense anomaly detection by learning on synthetic negative data.
Anja DelicMatej GrcicSinisa SegvicPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- data sets
- data sources
- data processing
- supervised learning
- data points
- detect anomalies
- intrusion detection
- learning process
- unsupervised learning
- one class support vector machines
- network intrusion detection
- data mining methods
- computer systems
- data analysis
- reinforcement learning
- training data
- decision trees
- learning algorithm