Business process management experiences a large uptake by
the industry, and process models play an important role in the analysis and
improvement of processes. While an increasing number of sta becomes
involved in actual modeling practice, it is crucial to assure model quality
and homogeneity along with providing suitable aids for creating models.
In this paper we consider the problem of oering recommendations to the
user during the act of modeling. Our key contribution is a concept for
dening and identifying action patterns - chunks of actions often appearing
together in business processes. In particular, we specify action patterns
and demonstrate how they can be identied from existing process model
repositories using association rule mining techniques. Action patterns
can then be used to suggest additional actions for a process model. Our
approach is challenged by applying it to the collection of process models
from the SAP Reference Model.