Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
With the increasing adoption of process-aware information systems (PAIS), large process model repositories have emerged. Over time respective models have to be re-aligned to the re...
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service match...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
It has become common place in business life that companies with related operations engage in a so-called merger in order to benefit from synergies or from combined products and se...