Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review.
Jing SuChufeng JiangXin JinYuxin QiaoTingsong XiaoHongda MaRong WeiZhi JingJiajun XuJunhong LinPublished in: CoRR (2024)
Keyphrases
- literature review
- anomaly detection
- language model
- language modeling
- intrusion detection
- case study
- n gram
- anomalous behavior
- probabilistic model
- information retrieval
- query expansion
- detecting anomalies
- network traffic
- document retrieval
- network anomaly detection
- network intrusion detection
- test collection
- retrieval model
- intrusion detection system
- language modelling
- one class support vector machines
- negative selection algorithm
- unsupervised learning
- novelty detection
- smoothing methods
- pseudo relevance feedback
- query terms
- data sets
- relevance model
- detect anomalies
- statistical language models
- supervised learning
- information retrieval systems