Process Mining: A Two-Step Approach to Balance Between Underfitting and Overfitting

Provided by: Eindhoven University of Technology Topic: Big Data Date Added: Aug 2008 Format: PDF
Process mining includes the automated discovery of processes from event logs. Based on observed events (e.g., activities being executed or messages being exchanged) a process model is constructed. One of the essential problems in process mining is that one cannot assume to have seen all possible behavior. At best, one has seen a representative subset. Therefore, classical synthesis techniques are not suitable as they aim at finding a model that is able to exactly reproduce the log.

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