Selected Topics in Process Mining
- Coordinator: Viki Peeva
- The registration is carried out via the central registration process on the web site SUPRA maintained by the Computer Science Department.
- This seminar is held in English (all written reports and presentations will be in English).
Only the students who will participate in the seminar will be contacted and they will be provided with the kick-off meeting date and time. All deadlines for submission of outline, term paper, presentation slides will be announced in the kick-off meeting. Presentations will take place on probably two or three days and this will also be announced in the kick-off meeting.
Process mining is a novel scientific discipline on the interface between process models and event data. Process mining techniques are used to discover, analyze, and improve real-life processes by extracting knowledge from the recorded event logs.
This seminar focuses on research topics in areas of advanced process mining, covering techniques used to analyze real-life processes based on the data stored in the corresponding event logs. Process discovery techniques use the event log to discover a model representing the underlying process, often in the form of a BPMN model or Petri net. Conformance checking aims at comparing the behavior defined by a process model and the observed behavior in the event log to find commonalities and deviations between them and measure the severity of such deviations. Other techniques may focus, for example, on analyzing process performance, causalities, decision points, etc. The goal of the seminar is to understand the theory behind such process mining techniques, their applicability, characteristics, and challenges.
Each student is assigned a research topic and will
- do a literature survey
- write an outline of his/her research paper
- write his/her own research paper based on the given topic
- give a presentation, and
- participate in all presentation meetings and discussions
The goal is to make students not only read and understand research papers, but also write a research paper on their own, generate research ideas, and make a presentation in an understandable, clear way for the audience.
Please note that all details regarding this seminar will be announced in the kick-off meeting, including the topics and deadlines for each task.
The registration is carried out via the central registration process on the web site SUPRA maintained by the Computer Science Department.
In order to increase your chance for being elected for this seminar, please state your qualifications, experiences, and all grades in your enrolled study as detailed as possible. Please give clearly why you are definitely a suitable candidate for this seminar.
You will be informed about the first meeting in the weeks after SUPRA announces the final participation lists.
Basic knowledge of Computer Science and very good, solid mathematical background needed (e.g. set theory, logic, automata etc.). Prior knowledge in process mining, process discovery, conformance checking, e.g., lecture Business Process Intelligence (BPI) required.
Furthermore, the following prerequisites are highly recommended:
- Successful participation in the Introduction to Data Science (IDS) course
- Successful participation in the Business Process Intelligence (BPI) course
- Successful participation in the "Process Mining: Data Science in Action" MOOC on Coursera
- Having read the book "Process Mining: Data Science in Action" by Wil van der Aalst.