Automatic discovery of object-centric behavioral constraint models

Conference Contribution

Li, G., Medeiros de Carvalho, R. & van der Aalst, W.M.P. (2017). Automatic discovery of object-centric behavioral constraint models. In W. Abramowicz (Ed.), Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings (pp. 43-58). (Lecture Notes in Business Information Processing, No. 288). Cham: Springer.

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Process discovery techniques have successfully been applied in a range of domains to automatically discover process models from event data. Unfortunately existing discovery techniques only discover a behavioral perspective of processes, where the data perspective is often as a second-class citizen. Besides, these discovery techniques fail to deal with object-centric data with many-to-many relationships. Therefore, in this paper, we aim to discover a novel modeling language which combines data models with declarative models, and the resulting object-centric behavioral constraint model is able to describe processes involving interacting instances and complex data dependencies. Moreover we propose an algorithm to discover such models.