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cs.DB2025
An Experimental Comparison of Alternative Techniques for Event-Log Augmentation
Alessandro Padella, Francesco Vinci, Massimiliano de Leoni
Process mining analyzes and improves processes by examining transactional data stored in event logs, which record sequences of events with timestamps. However, the effectiveness of…
cs.LG2025
Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring
Sjoerd van Straten, Alessandro Padella, Marwan Hassani
Predictive Process Monitoring (PPM) enables forecasting future events or outcomes of ongoing business process instances based on event logs. However, deep learning PPM approaches a…