Process Mining SS23 - DigiBP/digibp.github.io GitHub Wiki

Camunda

The process engine maintains the state of running process instances inside the runtime database and also of executed process instances inside the history database.

Further information can be found at the following links:

Access to the data in the runtime or history database takes place via the REST API.

Further information about REST API and all the possible queries can be found here:

Process Mining Tools

There are various tools on the market for evaluating event logs. Some of the best known are listed here.

  • Celonis: one of the leading process mining software solutions
  • ProM: short for Process Mining Framework and is Open Source.
  • RapidMiner: offers ML and also posability to create predictive models. Students can apply for an Educational License, which is valid for 1 year and can be extended afterwards.
  • Disco: offers the possibility to create visual maps from the event logs and give an insight into performance of the process. They also offer an Educational License.
  • Apromore: offers four different editions Community, Enterprise, Consultancy and Academic. Community Edition is open source and can be downloaded as source code (for those who want to change the default configuration of apromore) or as a docker image. Students can register for Academic Edition. This edition contains all the key faetures of Apromore Enterprise Edition and is offered as SaaS (so no installation needed).
  • Docker: If you want to run Apromore docker image, you need to install Docker. Desktop version requires Windows 10 pro or enterprise version 15063 to run, but there is a workaround if you don't have the proper windows version.

Still not enough of Proces Mining?

Then try out one of the Business Process Intelligence Challenges!

Last BPI Challenge 2020:

Challenge: https://icpmconference.org/2020/bpi-challenge/

Data Set: https://data.4tu.nl/collections/BPI_Challenge_2020/5065541