Process Discovery algorithms w/ Sander Leemans
Update: 2019-08-11
Description
In this episode of A Side Of Data, we interview lecturer and assistant professor at the the Queensland University of Technology, creator of Inductive miner Sander Leemans. We discuss how the main algorithm of process mining that is process discovery works, we talk about power and deficiencies of those algorithms, and we also touch upon the process mining tools, and how to improve them. We touch upon process model representations, such as directly follows relations, declare, procedural models. The guest based on his experience advises the creators of the commercial process mining products.
Find more about Sander: http://leemans.ch/leemansCH/quickvisualiser/
On LinkedIn: https://www.linkedin.com/in/sander-leemans-8347b8aa
Find out show on twitter: https://twitter.com/ASideOFData
And on the web: asideofdata.com
Email: asideofdata@protonmail.com
Find more about Sander: http://leemans.ch/leemansCH/quickvisualiser/
On LinkedIn: https://www.linkedin.com/in/sander-leemans-8347b8aa
Find out show on twitter: https://twitter.com/ASideOFData
And on the web: asideofdata.com
Email: asideofdata@protonmail.com
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![[mini] Intro to Process Mining: Data and Models](https://s3.castbox.fm/da/93/a3/91acfaf2a561a0b5dabd4f34bbf35fa682_scaled_v1_400.jpg "[mini] Intro to Process Mining: Data and Models")
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