Process Mining

Process mining is a data-driven approach that uses event logs to analyze, visualize, and improve real-world business processes. Current research emphasizes enhancing the accuracy and fairness of predictive process monitoring, addressing challenges in handling uncertainty and large-scale data, and integrating advanced techniques like large language models (LLMs) and graph neural networks for improved process discovery, anomaly detection, and model interpretation. This field is significant for its ability to optimize operational efficiency, improve decision-making, and provide valuable insights across diverse domains, from healthcare to manufacturing.