Conformance checking over uncertain event data

The strong impulse to digitize processes and operations in companies enterprises have resulted the creation automatic recording of an increasingly large amount process data information systems. These are made available form event logs. Process mining techniques enable process-centric analysis data, including automatically discovering models checking if conform a given model. In this paper, we analyze previously unexplored setting uncertain such logs uncertainty is recorded explicitly, i.e., time, activity case may be unclear or imprecise. work, define taxonomy models, examine challenges that poses on discovery conformance checking. Finally, show how upper lower bounds for can obtained by aligning trace onto regular