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An anomaly aware network embedding framework for unsupervised anomalous link detection.
Dongsheng Duan
Cheng Zhang
Lingling Tong
Jie Lu
Cunchi Lv
Wei Hou
Yangxi Li
Xiaofang Zhao
Published in:
Data Min. Knowl. Discov. (2024)
Keyphrases
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anomaly detection
network traffic
peer to peer
real time
network structure
theoretical framework
response time
dimensionality reduction
unsupervised learning
main contribution
detect anomalies
vector space
supervised learning
training data
image sequences
genetic algorithm
data sets