The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrograms.
Michael MesarcikAlbert-Jan BoonstraMarco IacobelliElena RanguelovaCees de LaatRob van NieuwpoortPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- knowledge discovery
- network intrusion detection
- anomalous behavior
- data mining
- detecting anomalies
- detecting anomalous
- network traffic
- unsupervised learning
- one class support vector machines
- unsupervised anomaly detection
- supervised learning
- computer vision
- pattern recognition
- learning algorithm
- computer security
- intrusion detection system
- information extraction
- decision trees
- behavior analysis
- network security
- computational intelligence
- feature selection
- image sequences
- natural language processing
- negative selection algorithm
- model selection
- pattern discovery
- feature extraction
- object recognition
- normal behavior
- detect anomalies
- pairwise
- neural network