Welcome to Week 4

Welcome to Week 4, which has a different set-up compared to the other weeks. By now you know how to operate ProM, how to load and explore an event log, and how to discover a process model. This week we will collaboratively apply what we have learned to analyse a real-life event log.

The event log that we use during this week is the ‘Road_Traffic_Fine_Management_Process.xes.gz’ in the provided event log zip file. This event log contains events related to handling road fines by an Italian police department.

During this final week we will first together discover the contents of the event log, using the log dialog and dotted chart, for instance. Together we will try to find one or more ways to filter the event log, to prepare it for the main step of this week: discovering a process model.

Using one of the filtering approaches suggested in the discussion, you are asked to discover a process model and analyse its conformance on the (filtered) data. This will be done in the form of a peer assignment, so an individual assignment.

After you have submitted your peer assignment, you are asked to evaluate one or more submissions from your peers. After which you can discuss the assignment with your peers.

Then we follow with a discussion on what we can do with these process models. In Week 3 we have learned that we can project performance information on the process models. What information does this provide us?

We have also learned to analyse the social aspects of the process. We will apply the techniques we learned and discuss what we can find.

This week is concluded by a discussion, where we summarize our findings and recommendations to the process owner.

We hope that this week will provide you with additional insights and the knowledge to perform a process mining analysis individually.

Looking forward to your findings! And happy mining :)

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This article is from the free online course:

Introduction to Process Mining with ProM

Eindhoven University of Technology

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