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.