Catch Me If You Can: Online Classification for Near Real-Time Anomaly Detection in Business Process Event Streams.
Philippe KrajsicBogdan FranczykPublished in: KES (2022)
Keyphrases
- anomaly detection
- business process
- real time
- business processes
- intrusion detection
- unsupervised learning
- network traffic
- web services
- case study
- event driven
- event streams
- high volume
- text classification
- support vector machine
- intrusion detection system
- network security
- training set
- machine learning
- business process modeling
- detect anomalies
- user interface
- streaming data
- complex event processing
- event processing
- databases