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Week 1 wrap-up and Week 2 contents

This week we have learned how to use ProM lite, what event data is, and how to inspect an event log in ProM lite.

In the next week we bring in the process aspect: how do we describe a process, and how can we automatically discover a process model from the data? This is the key feature of process mining! However, it is also the most difficult part to do right.

Are you ready to discover some process models? You don’t have to wait, you can already access week 2 now!

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This article is from the free online course:

Introduction to Process Mining with ProM

Eindhoven University of Technology

Course highlights Get a taste of this course before you join:

  • Introduction
    Introduction
    video

    Introduction to process mining: recognizing event data, what is process mining and what can process mining analyse.

  • Installing ProM lite
    Installing ProM lite
    video

    In this step we show how to find and install the free and open source process mining tool ProM lite.

  • Using ProM lite
    Using ProM lite
    video

    In this lecture we show the basic concepts and usage of ProM (lite): the resource, action and visualization perspectives.

  • Event logs
    Event logs
    video

    In this lecture we explain what an event log is and how it is structured. We also explain the most common attributes found in an XES event log.

  • Event logs in ProM
    Event logs in ProM
    video

    In this lecture we show you how you can load an event log in ProM and how you can get initial insights in the contents.

  • Converting a CSV file to an event log
    Converting a CSV file to an event log
    video

    Most data is not recorded in event log format. In this video we explain how a CSV file can be converted to an event log.

  • Exploring event logs with the dotted chart
    Exploring event logs with the dotted chart
    video

    After loading an event log into ProM it is important to apply the dotted chart to get initial process insights before process models are discovered.

  • Filtering event logs
    Filtering event logs
    video

    Before good quality process models can be discovered the event log data needs to be filtered to contain only completed cases for instance.