Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection.
Sarah AlnegheimishLaure Berti-ÉquilleKalyan VeeramachaneniPublished in: CoRR (2023)
Keyphrases
- end users
- anomaly detection
- unsupervised anomaly detection
- detect anomalies
- unsupervised learning
- intrusion detection
- novelty detection
- network traffic
- application development
- anomalous behavior
- network anomaly detection
- network intrusion detection
- detecting anomalies
- detecting anomalous
- service providers
- intrusion detection system
- user driven
- user interface
- one class support vector machines
- computer security
- network security
- business intelligence
- semi supervised
- malware detection
- negative selection algorithm
- cumulative sum
- supervised learning