A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning.
Tong ZhaoTianwen JiangNeil ShahMeng JiangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- anomaly detection
- pattern mining
- unsupervised anomaly detection
- intrusion detection
- connectionist systems
- unsupervised learning
- learning process
- detect anomalies
- network intrusion detection
- learning algorithm
- graph mining
- bayesian networks
- detecting anomalies
- network traffic
- frequent patterns
- anomalous behavior
- text classification
- reinforcement learning
- intrusion detection system
- sequential patterns
- databases
- graph databases
- supervised learning
- knowledge discovery
- active learning
- one class support vector machines
- frequent subgraph mining
- decision trees
- data mining