Process Mining deals with the analysis of event data that are generated during the execution of business processes. Event data contain numerous recorded individual process executions. Each process execution contains executed process activities and their temporal information, e.g., when activities for a given process execution are being conducted. We often observe that activities are performed overlapping and in parallel (i.e., partially ordered event data) in real-life processes leading to complex activity patterns. The paper “Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data” presents a novel query language to call up process executions from event logs containing partially ordered activities. The query language allows users to specify complex ordering relations over activities, i.e., control flow constraints. Evaluating a query for a given log returns process executions satisfying the specified conditions. The screenshot below shows the query language implementation in the process mining tool Cortado. The tool visualizes various process execution variants that meet the specified query from the variant query editor.  

https://cortado.fit.fraunhofer.de

This website contains the tool implementing the query language proposed in the paper.

Authors

 Daniel Schuster is a scientist at the Fraunhofer Institute for Applied Information Technology. In addition, he is a Ph.D. candidate at the Chair for Process and Data Science at RWTH Aachen University.

 

 

Michael Martini is a master student in data science at the RWTH Aachen University, student developer and research assistant at the Fraunhofer Institute for Applied Information Technology.



Sebastiaan J. van Zelst is a senior scientist in process mining affiliated to the Fraunhofer Institute for Applied Information Technology and the RWTH Aachen University.



Prof.dr.ir. Wil van der Aalst is a full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group. He is also the Chief Scientist at Celonis, part-time affiliated with the Fraunhofer FIT, and a member of the Board of Governors of Tilburg University. 

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