Introduction to Process Mining with ProM - Eindhoven University of Technology

Process mining is a new and exciting field of data analytics, which enables you to analyse and visualise business processes and related behaviour based on event logs.

It provides a critical, process-centric perspective on information, which is not available with classical data mining or machine learning techniques. For example, you could use process mining to:

• analyse treatment processes in hospitals;

• improve customer service processes in a multinational organisation;

• understand the browsing behaviour of website visitors;

• examine the failures of a baggage handling system;

• or improve the user interface of an X-ray machine.

In this free online course, we will explore a number of process mining algorithms and techniques, which can be differentiated into three categories:

1. Process discovery: taking an event log and producing a process model.

2. Conformance: checking that reality, as recorded in the event log, conforms to the model and vice versa.

3. Enhancement: extending or improving the process model, using information about the actual process that is recorded in an event log.

We will explore these techniques within the free, open source process mining framework (ProM), making use of real-life event logs to demonstrate how you can extract data from different sources, and apply process mining to gain practical and useful insights.