Name
Abstract | ||
|---|---|---|
Process Mining is a technique for extracting process models from executionlogs. This is particularly useful in situations where people have an idealizedview of reality. Real-life processes turn out to be less structured than peopletend to believe. Unfortunately, traditional process mining approaches haveproblems dealing with unstructured processes. The discovered models are often"spaghetti-like", showing all details without distinguishing what is important andwhat is not. This paper proposes a new process mining approach to overcome thisproblem. The approach is configurable and allows for different faithfully simplifiedviews of a particular process. To do this, the concept of a roadmap is used asa metaphor. Just like different roadmaps provide suitable abstractions of reality,process models should provide meaningful abstractions of operational processesencountered in domains ranging from healthcare and logistics to web servicesand public administration. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75183-0_24 | BPM |
Keywords | DocType | Volume |
process model,multi-perspective metrics,real-life process,traditional process mining approach,important andwhat,unstructured process,adaptive process simplification,fuzzy mining,new process mining approach,particular process,different roadmaps,process mining,asa metaphor,web service,public administration | Conference | 4714 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-75182-3 | 281 |
PageRank | References | Authors |
10.62 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian W. Günther | 1 | 800 | 34.39 |
| Wil Van Der Aalst | 2 | 20894 | 1418.27 |