One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data.
Imran RazzakNour MoustafaShahid MumtazGuangdong XuPublished in: Int. J. Intell. Syst. (2022)
Keyphrases
- noisy data
- anomaly detection
- high dimensional
- dimensionality reduction
- intrusion detection
- tensor analysis
- high dimensionality
- intrusion detection system
- anomalous behavior
- detecting anomalies
- low dimensional
- network intrusion detection
- high order
- network traffic
- unsupervised learning
- feature space
- one class support vector machines
- network anomaly detection
- negative selection algorithm
- detecting anomalous
- streaming data
- missing values
- high dimensional data
- input data
- network security
- missing data
- data points
- training data
- tensor decomposition
- feature vectors
- image processing
- neural network
- data sets