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Process Mining: Data Science in Action

January 28, 2017

We will learn about

  • process mining
  • overview of the broader data science discipline
  • basic data mining techniques motivate why these are not suitable for the analysis of processes
  • automatically discovering process models from raw event data

1. Data and Process Mining

Process mining is bridging the gap between classical process model analysis. And data oriented analysis like data mining and machine learning. Process mining is bridging this gap, because it’s focusing on processes. But at the same time, using the real data.

2. Decision Tree

 

3. Clustering and Association Rule Learning

 

 

https://www.coursera.org/learn/process-mining/supplement/NehVf/process-mining-data-science-in-action-getting-started

 

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From → Data Science

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