Detecting Anomalous Graphs in Labeled Multi-Graph Databases.
Hung T. NguyenPierre J. LiangLeman AkogluPublished in: ACM Trans. Knowl. Discov. Data (2023)
Keyphrases
- graph databases
- detecting anomalous
- labeled graphs
- graph mining
- intrusion detection
- anomaly detection
- subgraph isomorphism
- graph data
- structured objects
- frequent subgraphs
- application domains
- network traffic
- graph model
- query language
- pattern mining
- structured data
- index structure
- similarity search
- maximal frequent subgraphs
- xml databases
- greedy algorithm
- supervised learning
- regular expressions
- multi dimensional
- nearest neighbor
- training data
- information retrieval