Semi-Supervised Anomaly Detection in Business Process Event Data using Self-Attention based Classification.
Philippe KrajsicBogdan FranczykPublished in: KES (2021)
Keyphrases
- anomaly detection
- business process
- data sets
- semi supervised
- pattern recognition
- data analysis
- unsupervised anomaly detection
- intrusion detection
- training data
- anomalous behavior
- business processes
- event logs
- detect anomalies
- unsupervised learning
- labeled data
- case study
- network traffic
- supervised learning
- data points
- data sources
- feature space
- support vector
- decision trees