Provided by: Eindhoven University of Technology
Topic: Big Data
Date Added: Aug 2008
In the domain of process mining the evaluation of models (i.e., \"How can the authors measure the quality of a mined process model?\") is still subject to ongoing research. Because the types of models used in process mining are typically on a higher level of abstraction (they, for example, allow to capture concurrency), the problem of model evaluation is challenging. In this paper, they elaborate on the problem of process model evaluation, and they evaluate both new and existing fitness metrics for different levels of noise.