Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders.
Timo NolleAlexander SeeligerMax MühlhäuserPublished in: DS (2016)
Keyphrases
- denoising
- business process
- event logs
- process mining
- unsupervised anomaly detection
- anomaly detection
- business processes
- process model
- semi supervised
- intrusion detection
- image processing
- ws bpel
- workflow model
- web services
- business process modeling
- business process models
- case study
- business process management
- pattern mining
- service oriented architecture
- workflow models
- knowledge base
- network traffic
- intrusion detection system
- data structure
- probabilistic model
- knowledge discovery