Anomaly Detection in Large Labeled Multi-Graph Databases.
Hung T. NguyenPierre J. LiangLeman AkogluPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- graph databases
- intrusion detection
- detecting anomalies
- anomalous behavior
- graph mining
- network intrusion detection
- application domains
- detect anomalies
- graph model
- supervised learning
- unsupervised learning
- one class support vector machines
- intrusion detection system
- structured data
- query language
- training data
- similarity search
- regular expressions
- pattern mining
- mining algorithm
- index structure
- knowledge discovery
- xml databases
- similarity measure
- learning algorithm
- neural network
- database