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Process Discovery using Integer Linear Programming

van der Werf J.M.E.M., van Dongen B.F., Hurkens C.A.J., Serebrenik A.

Fundamenta Informaticae

2009

Vol. 94, nr 3/4

387-412

The research domain of process discovery aims at constructing a process model (e.g. a Petri net) which is an abstract representation of an execution log. Such a model should (1) be able to reproduce the log under consideration and (2) be independent of the number of cases in the log. In this paper, we present a process discovery algorithm where we use concepts taken from the language-based theory of regions, a well-known Petri net research area. We identify a number of shortcomings of this theory from the process discovery perspective, and we provide solutions based on integer linear programming.