2 papers
cs.AI2019
BINet: Multi-perspective Business Process Anomaly Classification
Timo Nolle, Stefan Luettgen, Alexander Seeliger +1
In this paper, we introduce BINet, a neural network architecture for real-time multi-perspective anomaly detection in business process event logs. BINet is designed to handle both…
cs.AI2018
Analyzing Business Process Anomalies Using Autoencoders
Timo Nolle, Stefan Luettgen, Alexander Seeliger +1
Businesses are naturally interested in detecting anomalies in their internal processes, because these can be indicators for fraud and inefficiencies. Within the domain of business…