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Understanding How People Analyze Their Process Mining Data

How exactly do people analyze their data during the explorative and targeted analysis phases of a process mining project? This is the topic of a whole sub field in the process mining research area.

In our latest Process Mining Café, we spoke with Pnina Soffer from Haifa University and Barbara Weber and Francesca Zerbato from the University of St. Gallen about the process of process mining.

Researchers approach the topic from two different angles: (1) A top-down approach guided by cognitive psychology and (2) a bottom-up approach based on behavioral discovery (process mining!). For both approaches, the researchers collect detailed data sets in user test labs that capture the analysts’ behavior in multiple dimensions: Think aloud data, application logs, screen recordings, interview data, and even eye tracking data. In the café, we looked at two of these data sets to see what you can learn from them.

If you missed the live broadcast or want to re-watch the café, you can now watch the recording here. Thanks again to Pnina, Francesca, Barbara, and all of you for joining us!

Here are the links to the papers that we mentioned during the session1:

Contact us via if you have questions or suggestions for the café anytime.

  1. We link to pre-prints where the open-access version is not available. Note that some of the research that we discussed is still ongoing and has not been published yet. You can contact Pnina, Francesca, and Barbara directly if you have questions about their work. ↩︎

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