Anomaly Correction of Business Processes Using Transformer Autoencoder

arXiv:2404.10211v1 Announce Type: new
Abstract: Event log records all events that occur during the execution of business processes, so detecting and correcting anomalies in event log can provide reliable guarantee for subsequent process analysis. The previous works mainly include next event prediction based methods and autoencoder-based methods. These methods cannot accurately and efficiently detect anomalies and correct anomalies at the same time, and they all rely on the set threshold to detect anomalies. To solve these problems, we propose a …

abstract analysis anomaly arxiv autoencoder business business processes cs.ai cs.lg event events next prediction process processes records transformer type