A very interesting post on Generalization. Must read!
Last week, Dirk Fahland posted an interesting article on his blog about the generalization quality dimension in process mining (/process discovery). Since this is one of the topics I touched during my PhD research I just have to reply because I have a slightly different view, and I have the feeling that two concepts are mixed in the discussion. Unfortunately, this could not be done in a comment to the original post…
Dirk discusses the problem of the confidence one can have in a discovered process model, given an event log. A very related question is “have we seen enough traces”? These are all valid questions that we currently can not confidently answer (i.e. it is ongoing research).
Before I can explain why my view slightly differs, let me first explain our view on the quality dimensions in process discovery.
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