Event Log

Event logs, records of sequential events in systems, are crucial for understanding and optimizing various processes. Current research focuses on improving the analysis of these logs, addressing challenges like uncertainty in event data, security risks from model reconstruction, and the need for efficient anomaly detection and correction. This involves developing advanced algorithms, such as those based on graph transformers and autoencoders, and leveraging large language models for data abstraction and integration. The resulting insights have significant implications for process mining, predictive maintenance, and business process improvement across diverse domains.