Anomaly Detection in High-Dimensional Data Based on Autoregressive Flow.
Yanwei YuPeng LvXiangrong TongJunyu DongPublished in: DASFAA (2) (2020)
Keyphrases
- high dimensional data
- anomaly detection
- autoregressive
- non stationary
- low dimensional
- nearest neighbor
- dimensionality reduction
- high dimensional
- intrusion detection
- anomalous behavior
- subspace clustering
- network intrusion detection
- data analysis
- data points
- data sets
- detecting anomalies
- random fields
- network traffic
- intrusion detection system
- spectral analysis
- lower dimensional
- detect anomalies
- negative selection algorithm
- sar images
- principal component analysis
- pattern recognition
- unsupervised learning
- neural network
- least squares
- image data
- data mining