Eindhoven University of Technology
Process mining is a technique for extracting process models from execution logs. This is particularly useful in situations where people have an idealized view of reality. Real-life processes turn out to be less structured than people tend to believe. Unfortunately, traditional process mining approaches have problems dealing with unstructured processes. The discovered models are often \"Spaghetti-like\", showing all details without distinguishing what is important and what is not. This paper proposes a new process mining approach to overcome this problem.