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ProM-plug-ins for the Synthesis of Process Models with Cancellations from Event Logs

Student: Matveyenkau Artsem

Supervisor: Anna Alekseevna Kalenkova

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2018

The following paper describes a tool for a synthesis of process models with cancellations from event logs in terms of process mining techniques. Process models with cancellations such as Petri Nets with Cancellations and BPMN models provide more generalization and simplicity, consequently, process mining users could create less complicated models with the same level of accuracy. Also, cancellations are pretty common in real-life logs and these techniques could be applied in many process mining optimization tasks. The describing tool provides mining with following order: regular BPMN model, Transition System, Petri Net with Cancellations. This tool was implemented as plugins for ProM framework, widely used in process mining researches.

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