Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement.
Lucas PotinRosa FigueiredoVincent LabatutChristine LargeronPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- pattern mining
- unsupervised anomaly detection
- detect anomalies
- graph mining
- intrusion detection
- network intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- mining algorithm
- intrusion detection system
- data mining
- sequential patterns
- network anomaly detection
- pattern discovery
- graph databases
- one class support vector machines
- interesting patterns
- graph patterns
- frequent patterns
- data mining techniques
- frequent subgraphs
- closed patterns
- frequent pattern mining
- data mining algorithms
- cumulative sum
- feature extraction