BINet: Multi-perspective business process anomaly classification

Timo Nolle, Stefan Luettgen, Alexander Seeliger, Max Mühlhäuser

Abstract: Highlights•BINet neural network architecture.•Automatic threshold heuristic.•Generation algorithm for synthetic event logs.•Comprehensive evaluation of state-of-the-art methods.•Method to classify anomalies based on outputs of BINet.