Preserving complex object-centric graph structures to improve machine learning tasks in process mining

Engineering Applications of Artificial Intelligence, vol. 125, pp. 106764

Authors 3

1. Jan Niklas Adams corresponding Aachen Chair of Process and Data Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science, RWTH Aachen University, Ahornstraße 55, Aachen, 52074, North Rhine-Westphalia, Germany

2. Gyunam Park Aachen Chair of Process and Data Science

   RWTH Aachen University

   Affiliation as printed

   Chair of Process and Data Science, RWTH Aachen University, Ahornstraße 55, Aachen, 52074, North Rhine-Westphalia, Germany

3. Wil M. P. van der Aalst Aachen Chair of Process and Data Science

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Celonis SE, Theresienstr. 6, Munich, 80333, Bavaria, Germany

   Chair of Process and Data Science, RWTH Aachen University, Ahornstraße 55, Aachen, 52074, North Rhine-Westphalia, Germany

   Fraunhofer FIT, Schloß Birlinghoven, Konrad-Adenauer-Straße, Sankt Augustin, 53757, North Rhine-Westphalia, Germany