Introduction to Process Mining with ProM - Eindhoven University of Technology



Wichtige informationen

  • Kurs
  • Online

Use the free, open source process mining framework (ProM) to analyse, visualise, manage and improve a range of business processes.

Wichtige informationen

Wo und wann

Beginn Lage
11 Juli 2016

Was lernen Sie in diesem Kurs?



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.

Explore process mining algorithms and techniques

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.

Turn real-life event logs into useful insights with ProM

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.