Anomaly Detection from Diabetes Similarity Graphs using Community Detection and Bayesian Techniques.
Yakub SebastianJason Thomas ChewXun Ting TiongValliappan RamanAlan Yean Yip FongPatrick Hang Hui ThenPublished in: IMCOM (2018)
Keyphrases
- anomaly detection
- community detection
- graph clustering
- graph mining
- community detection algorithms
- real world networks
- complex networks
- network analysis
- intrusion detection
- massive graphs
- social networks
- community structure
- anomalous behavior
- detecting anomalies
- community discovery
- hyper graph
- link prediction
- similarity measure
- network traffic
- intrusion detection system
- bipartite networks
- network intrusion detection
- label propagation
- network anomaly detection
- bipartite graph
- bayesian networks
- graph databases
- graph theory
- densely connected
- detect anomalies
- network structure
- object recognition
- unsupervised learning
- weighted graph
- one class support vector machines
- social network analysis
- maximum likelihood
- graph partitioning