Towards Automated Process Planning and Mining
- URL: http://arxiv.org/abs/2208.08943v1
- Date: Thu, 18 Aug 2022 16:41:22 GMT
- Title: Towards Automated Process Planning and Mining
- Authors: Peter Fettke and Alexander Rombach
- Abstract summary: We present a research project in which researchers from the AI and BPM field work jointly together.
We discuss the overall research problem, the relevant fields of research and our overall research framework to automatically derive process models.
- Score: 77.34726150561087
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: AI Planning, Machine Learning and Process Mining have so far developed into
separate research fields. At the same time, many interesting concepts and
insights have been gained at the intersection of these areas in recent years.
For example, the behavior of future processes is now comprehensively predicted
with the aid of Machine Learning. For the practical application of these
findings, however, it is also necessary not only to know the expected course,
but also to give recommendations and hints for the achievement of goals, i.e.
to carry out comprehensive process planning. At the same time, an adequate
integration of the aforementioned research fields is still lacking. In this
article, we present a research project in which researchers from the AI and BPM
field work jointly together. Therefore, we discuss the overall research
problem, the relevant fields of research and our overall research framework to
automatically derive process models from executional process data, derive
subsequent planning problems and conduct automated planning in order to
adaptively plan and execute business processes using real-time forecasts.
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