GAWD: graph anomaly detection in weighted directed graph databases.
Meng-Chieh LeeHung T. NguyenDimitris BerberidisVincent S. TsengLeman AkogluPublished in: ASONAM (2021)
Keyphrases
- anomaly detection
- graph databases
- graph mining
- graph model
- intrusion detection
- graph data
- application domains
- detecting anomalies
- structured data
- quasi cliques
- detect anomalies
- frequent subgraphs
- intrusion detection system
- index structure
- similarity search
- query language
- weighted graph
- protein structure
- unsupervised learning
- xml databases
- greedy algorithm
- mining algorithm
- pattern mining
- graphical models
- data structure
- reinforcement learning
- training data
- similarity measure
- image segmentation
- social networks
- machine learning