TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection.
John PaparrizosYuhao KangPaul BoniolRuey S. TsayThemis PalpanasMichael J. FranklinPublished in: Proc. VLDB Endow. (2022)
Keyphrases
- end to end
- anomaly detection
- benchmark suite
- multivariate time series
- detect anomalies
- intrusion detection
- anomalous behavior
- detecting anomalies
- network anomaly detection
- network traffic
- admission control
- intrusion detection system
- network intrusion detection
- detecting anomalous
- network security
- one class support vector machines
- congestion control
- unsupervised learning
- negative selection algorithm
- motion vectors
- decision trees
- feature selection