Process Mining

Contents

The field of process mining encompasses a range of methods that derive new knowledge about underlying processes on the basis of log files from information systems. Such information systems are, for example, workflow management systems, which are used for the efficient control of process flows in companies and organizations. The lecture first introduces the basics of processes and corresponding modeling and analysis techniques. Building on this, the basics of process mining and the three classic types of process - process discovery, conformance checking and process enhancement - are covered. In addition to the theoretical basics, tools, application scenarios in practice and open research topics are then presented.

Learning objectives:

Students

  • understand the terms and methods of process mining and know how they can be used,
  • create and evaluate business process models,
  • analyze static and dynamic properties of workflows,
  • apply process mining methods and tools.

Recommendations:

Previous knowledge from the Applied Computer Science - Modeling course is expected.

Workload:

The total workload for this course unit is approx. 135 hours (4.5 credit points).

  • Lecture 30h
  • Exercise 15h
  • Preparation and follow-up of the lecture 24h
  • Preparation and follow-up of the exercise 25h
  • Exam preparation 40h
  • Exam 1h

Lecture languageGerman
References
  • W. van der Aalst, H. van Kees: Workflow Management: Models, Methods and Systems, Cambridge, The MIT Press, 2002.
  • W. van der Aalst: Process Mining: Data Science in Action. Springer, 2016.
  • J. Carmona, B. van Dongen, A. Solti, M. Weidlich: Conformance Checking: Relating Processes and Models. Springer, 2018.
  • A. Drescher, A. Koschmider, A. Oberweis: Modeling and Analysis of Business Processes: Fundamentals and exercises with solutions. De Gruyter Studium, 2017.
  • A. Oberweis: Modeling and Execution of Workflows with Petri Nets. Teubner series Business Information Systems, B.G. Teubner Verlag, 1996.
  • R. Peters, M. Nauroth: Process mining: Business processes: smart, fast and simple, Springer, 2019.
  • F. Schönthaler, G.Vossen, A. Oberweis, T. Karle: Business Processes for Business Communities: Modeling Languages, Methods, Tools. Springer, 2012.
  • M. Weske: Business Process Management: Concepts, Languages, Architectures. Springer, 2012.

Further literature will be announced in the lecture.