Applying Process Mining on Scientific Workflows: A Case Study on High Performance Computing Data

Lecture notes in business information processing, pp. 84–96

Authors 4

1. Zahra Sadeghibogar corresponding Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science, RWTH Aachen University, Aachen, Germany

2. Alessandro Berti Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science, RWTH Aachen University, Aachen, Germany

3. Marco Pegoraro Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science, RWTH Aachen University, Aachen, Germany

4. Wil M. P. van der Aalst Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science, RWTH Aachen University, Aachen, Germany