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Process Mining

28/11/2016 @ 09:00 - 29/11/2016 @ 15:00
23 Boulevard du Souverain
Watermael-Boitsfort, Brussel 1170 Belgium
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This is one of the bootcamp sessions that has been opened up for a broader audience.


Process Mining is a relatively recent research area which has been gaining rapid traction in the enterprise, aiming to bridge the gap between traditional data mining techniques (supervised and unsupervised learning) and process-based approaches (simulation, business process management). Contrary to traditional machine learning, which commonly starts from flat, tabular data sources, process mining deals with data describing a flow or sequences of activities or events.

Examples of applications include:

– Discovering where customers cancel their order as they browse your website
– Understand the browsing behavior of costumers before booking
– Analyzing the care flow of patients in a hospital as they move from department to department
– Improving the bottlenecks in a helpdesk
– Tracking the flow of work through your team’s social network
– Verify whether organizational compliance rules are adhered to in a credit assessment process

In short: process mining is all about events and flows. This workshop will guide you through ​the key fundamentals of process mining: participants will learn the difference between process discovery, conformance checking and enhancement, and will learn through hands-on exercises how to get started right away using real-life event data. Moreover, a number of real-life case studies will be presented to give you a head start towards applying process mining in your own application domain.

What you will learn

  • What is BPM, data mining, and how is process mining positioned between them
  • The difference between process mining and traditional business process intelligence
  • What is an event log, how should it look like, what should it contain
  • How to work with the XES file format
  • What is process discovery, what are the most common algorithms and how do they work
  • What is conformance checking, what is meant by replaying an event log or log alignments
  • How can process mining be used to make recommendations
  • How to predict the remaining running time of a process or the best next action
  • How to work with tools such as ProM and Disco
Jochen De Weerdt
Jochen is Assistant Professor at the Department of Decision Sciences and Information Management of KU Leuven.  He works within the Leuven Institute for Research on Information Systems, where he teaches and conducts research in the area of Information Systems, with a special interest in Business Process Management, process mining, data mining, artificial intelligence, and web analytics. As for teaching, he is currently co-lecturing a unit called Business Information Systems, both in Leuven as well as at Campus Kortrijk (KULAK).
Seppe vanden Broucke
Seppe vanden Broucke received a PhD in Applied Economics at KU Leuven in 2014 after obtaining a Master’s degree (magna cum laude) in Business Economics: Information Systems Engineer from the same institution. Currently, Seppe is working as a postdoctoral researcher at the department of Decision Sciences and Information Management at KU Leuven. His research interests include business data mining and analytics, machine learning, process management, process mining. His work has been published in well-known international journals and presented at top conferences.
Start: 28/11/2016 @ 09:00
End: 29/11/2016 @ 15:00
Event CategoryBootcamp
Venue Name: European Data Innovation Hub
Address: 23 Boulevard du Souverain
Watermael-Boitsfort, Brussel 1170 Belgium
Organizer Name: di-Academy