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AbstractProcess mining enables the reconstruction and evaluation of business processes based on digital traces in IT systems. An increasingly important technique in this context is process prediction. Given a sequence of events of an ongoing trace, process prediction allows forecasting upcoming events or performance measurements. In recent years, multiple process prediction approaches have been proposed, applying different data processing schemes and prediction algorithms. This study focuses ondoi:10.1007/s10462-021-09960-8 fatcat:cikw2kxd7vhozeevsrl3qp6p24