Event Log Prediction

Event log prediction focuses on forecasting future events within sequential data streams, such as those generated by business processes or software systems. Current research employs deep learning techniques, particularly sequence-to-sequence models and natural language processing (NLP) methods integrated with code clone detection, to predict both the timing and content of future events. This field holds significant promise for improving process optimization in various domains, from automating software logging to enhancing predictive maintenance and resource allocation in complex systems.