Process Mining
€1,210
Process Mining

Process Mining

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European Data Innovation Hub

23 Boulevard du Souverain

Watermael-Boitsfort, Belgium

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Objectives

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


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European Data Innovation Hub

23 Boulevard du Souverain

Watermael-Boitsfort, Belgium

View Map

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