Process Mining
- Type: Lecture (V)
- Semester: SS 2024
-
Time:
Tue 2024-04-16
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-04-23
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-04-30
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-05-07
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-05-14
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-05-28
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-06-04
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-06-11
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-06-18
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-06-25
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-07-02
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-07-09
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-07-16
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
Tue 2024-07-23
09:45 - 11:15, weekly
11.40 Raum -116
11.40 Kollegiengebäude am Ehrenhof
- Lecturer: Prof. Dr. Andreas Oberweis
- SWS: 2
- Lv-No.: 2511204
- Information: On-Site
Content | The area of process mining covers approaches which aim at deducting new knowledge on the basis of logfiles generated by information systems. Such information systems are e.g., workflow-management-systems which are used for an efficient control of processes in enterprises and organisations. The lecture introduces the foundations of processes and respective modeling and analysis techniques. In the following, the foundations of process mining and the three classical types of approaches - discovery, conformance and enhancement - will be taught. In addition to the theoretical basics, tools, application scenarios in practice and open research questions are covered as well. Learning objectives: Students
Recommendations: Knowledge of course Applied Informatics - Modelling is expected. Workload:
|
Language of instruction | German |
Bibliography |
Weitere Literatur wird in der Vorlesung bekannt gegeben. |