Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.
Yifan GuoWeixian LiaoQianlong WangLixing YuTianxi JiPan LiPublished in: ACML (2018)
Keyphrases
- anomaly detection
- gaussian mixture
- multidimensional time series
- detecting anomalies
- intrusion detection
- closed form
- covariance matrix
- em algorithm
- network intrusion detection
- probability density function
- gaussian mixture model
- expectation maximization
- anomalous behavior
- unsupervised learning
- mixture model
- intrusion detection system
- image segmentation
- one class support vector machines
- density estimation
- network traffic
- optical flow
- network anomaly detection
- negative selection algorithm
- high resolution
- clustering algorithm
- computer vision
- principal component analysis
- neural network
- machine learning