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

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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.

Original languageEnglish
Title of host publicationBusiness Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings
EditorsM. La Rosa, P. Loos, O. Pastor
Place of PublicationDordrecht
Number of pages16
ISBN (Electronic)978-3-319-45348-4
ISBN (Print)978-3-319-45347-7
Publication statusPublished - 2016
Event14th International Conference on Business Process Management (BPM 2016) - Rio de Janeiro, Brazil
Duration: 18 Sep 201622 Sep 2016
Conference number: 14

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Conference on Business Process Management (BPM 2016)
Abbreviated titleBPM 2016
CityRio de Janeiro
Other2016 BPM Demo Track, BPMD 2016, co-located with the 14th International Conference on Business Process Management, BPM 2016
Internet address


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