Name
Abstract | ||
|---|---|---|
Reference models are special conceptual models that are reused for the design of other conceptual models. They confront stakeholders with the dilemma of balancing the size of a model against its reuse frequency. The larger a reference model is, the better it applies to a specific situation, but the less often these situations occur. This is particularly important when mining a reference model from large process logs, as this often produces complex and unstructured models. To address this dilemma, we present a new approach for mining reference model components by vertically dividing complex process traces and hierarchically clustering activities based on their proximity in the log. We construct a hierarchy of subprocesses, where the lower a component is placed the smaller and the more structured it is. The approach is implemented as a proof-of-concept and evaluated using the data from the 2017 BPI challenge. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-11641-5_1 | Business Process Management Workshops |
Field | DocType | Citations |
Data mining,Business process,Reference model,Conceptual model,Computer science,Reuse,Dilemma,Cluster analysis,Hierarchy,Process mining,Process management | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jana-Rebecca Rehse | 1 | 27 | 9.25 |
| Peter Fettke | 2 | 812 | 78.37 |