Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection.
Guangyao ZhangXin GaoLei WangBing XueShiyuan FuJiahao YuZijian HuangXu HuangPublished in: Appl. Intell. (2023)
Keyphrases
- anomaly detection
- multivariate time series
- feature extraction
- multiscale
- dimension reduction
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- intrusion detection system
- temporal data
- network intrusion detection
- image processing
- temporal patterns
- probabilistic model
- pattern recognition
- unsupervised learning
- preprocessing
- categorical data
- detect anomalies
- one class support vector machines
- feature space
- feature vectors
- bayesian networks
- feature selection
- linear discriminant analysis
- data analysis
- face recognition
- dimensionality reduction
- high dimensional
- autoregressive
- object recognition
- machine learning
- data sets