Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement.
Lucas PotinRosa FigueiredoVincent LabatutChristine LargeronPublished in: ECML/PKDD (6) (2023)
Keyphrases
- anomaly detection
- pattern mining
- unsupervised anomaly detection
- detect anomalies
- graph mining
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- intrusion detection system
- data mining
- one class support vector machines
- mining algorithm
- network intrusion detection
- negative selection algorithm
- network anomaly detection
- data mining techniques
- pattern discovery
- frequent pattern mining
- graph patterns
- sequential patterns
- training data
- frequent subgraphs
- graph data
- graph databases
- semi supervised
- object recognition
- learning algorithm
- machine learning
- itemsets
- frequent patterns
- real world