Discovering and Exploring State-based Models for Multi-perspective Processes


van Eck, M.L., Sidorova, N. & van der Aalst, W.M.P. (2016). Discovering and Exploring State-based Models for Multi-perspective Processes. In P. Loos, O. Pastor, M. La Rosa, P. Loos, O. Pastor & M. La Rosa (Eds.), Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings (pp. 142-157). (Lecture notes of computer science, No. 9850). Dordrecht: Springer. In Scopus Cited 1 times.

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Process mining provides fact-based insights into process behaviour captured in event data. In this work we aim to discover models for processes where different facets, or perspectives, of the process can be identified. Instead of focussing on the events or activities that are executed in the context of a particular process, we concentrate on the states of the different perspectives and discover how they are related. We present a formalisation of these relations and an approach to discover state-based models highlighting them. The approach has been implemented using the process mining framework ProM and provides a highly interactive visualisation of the multi-perspective state-based models. This tool has been evaluated on the BPI Challenge 2012 data of a loan application process and on product user behaviour data gathered by Philips during the development of a smart baby bottle equipped with various sensors.