Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection.
Jun LiuChaoyun ZhangJiaxu QianMinghua MaSi QinChetan BansalQingwei LinSaravan RajmohanDongmei ZhangPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- language model
- detect anomalies
- language modeling
- intrusion detection
- document retrieval
- detecting anomalies
- n gram
- anomalous behavior
- probabilistic model
- network traffic
- statistical language models
- query expansion
- network intrusion detection
- novelty detection
- intrusion detection system
- retrieval model
- information retrieval
- language modelling
- one class support vector machines
- network anomaly detection
- smoothing methods
- test collection
- query terms
- negative selection algorithm
- language models for information retrieval
- relevance model
- unsupervised learning
- maximum likelihood
- information extraction
- image segmentation