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One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data.
Imran Razzak
Nour Moustafa
Shahid Mumtaz
Guangdong Xu
Published in:
Int. J. Intell. Syst. (2022)
Keyphrases
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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