Dr.-Ing. Matthes Elstermann

Introduction:

The discipline or domain of Process Mining has become more and more important over the last few years. The main concept behind it is to derive process models to understand business processes not the classical way by talking to people and creating them manually, but by trying to automatically analyze transactional data (logs) from an organizations IT-Systems that are involved in the execution of business activities. In theory this will save time and informal ambiguities and misunderstandings. Most of these process mining approaches , supposedly, are based on classical Petri-Net formalities.

The paradigm of subject-orientation for process modeling on the other hand is profoundly different from the classic paradigm of petri nets. Hypothetically, subject-oriented process models are easier for humans to understand and adapt to their needs. Subsequently, it would be beneficial to have process mining concept that are able to generated subject-oriented process models.

Goal:

The goal is to answer the question if and how existing approaches for process mining can be used or adapted to generate subject-oriented process models, or what challenges and problems stand in the way that need to be solved.

Principle Approach:

• Research an overview over state-of-the-art processing mining concepts, use-uases, available zesting material, frameworks, or artificial intelligence applications
• Gain understanding of the special differences between classical process models and subject-oriented process models
• Develop an approach that will generate subject-oriented process models from process logs and/or  (if not possible) answer the question what information is needed to approach this challenge and currently hampers progression.
• Try to test or verify this approach with a practical implementation