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

M.L. van Eck; N. Sidorova; W.M.P. van der Aalst

doi:10.1007/978-3-319-45348-4_9

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

M.L. van Eck, N. Sidorova, W.M.P. van der Aalst

Eindhoven MedTech Innovation Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

19 Citations (Scopus)

5 Downloads (Pure)

Abstract

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 language	English
Title of host publication	Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings
Editors	M. La Rosa, P. Loos, O. Pastor
Place of Publication	Dordrecht
Publisher	Springer
Pages	142-157
Number of pages	16
ISBN (Electronic)	978-3-319-45348-4
ISBN (Print)	978-3-319-45347-7
DOIs	https://doi.org/10.1007/978-3-319-45348-4_9
Publication status	Published - 2016
Event	14th International Conference on Business Process Management (BPM 2016) - Rio de Janeiro, Brazil Duration: 18 Sep 2016 → 22 Sep 2016 Conference number: 14 http://bpm2016.uniriotec.br/

Publication series

Name	Lecture notes in computer science
Volume	9850
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Business Process Management (BPM 2016)
Abbreviated title	BPM 2016
Country	Brazil
City	Rio de Janeiro
Period	18/09/16 → 22/09/16
Internet address	http://bpm2016.uniriotec.br/

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10.1007/978-3-319-45348-4_9

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1 Finished

Impuls I - Health - Perinatal Monitoring - TU/e funded
1/01/15 → 31/12/20
Project: Research indirect

Perinatal Medicine
M.B. (Beatrijs) van der Hout-van der Jagt (Content manager) & Eugenie Delvaux (Content manager)
Impact: Research Topic/Theme (at group level)

Cite this

van Eck, M. L., Sidorova, N., & van der Aalst, W. M. P. (2016). Discovering and Exploring State-based Models for Multi-perspective Processes. In M. La Rosa, P. Loos, & O. Pastor (Eds.), Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings (pp. 142-157). (Lecture notes in computer science; Vol. 9850). Springer. https://doi.org/10.1007/978-3-319-45348-4_9

van Eck, M.L. ; Sidorova, N. ; van der Aalst, W.M.P. / Discovering and Exploring State-based Models for Multi-perspective Processes. Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings. editor / M. La Rosa ; P. Loos ; O. Pastor. Dordrecht : Springer, 2016. pp. 142-157 (Lecture notes in computer science).

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title = "Discovering and Exploring State-based Models for Multi-perspective Processes",

abstract = "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.",

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van Eck, ML , Sidorova, N & van der Aalst, WMP 2016, Discovering and Exploring State-based Models for Multi-perspective Processes. in M La Rosa, P Loos & O Pastor (eds), Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings. Lecture notes in computer science, vol. 9850, Springer, Dordrecht, pp. 142-157, 14th International Conference on Business Process Management (BPM 2016), Rio de Janeiro, Brazil, 18/09/16. https://doi.org/10.1007/978-3-319-45348-4_9

Discovering and Exploring State-based Models for Multi-perspective Processes. / van Eck, M.L.; Sidorova, N.; van der Aalst, W.M.P.

Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings. ed. / M. La Rosa; P. Loos; O. Pastor. Dordrecht : Springer, 2016. p. 142-157 (Lecture notes in computer science; Vol. 9850).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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van Eck ML , Sidorova N , van der Aalst WMP. Discovering and Exploring State-based Models for Multi-perspective Processes. In La Rosa M, Loos P, Pastor O, editors, Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings. Dordrecht: Springer. 2016. p. 142-157. (Lecture notes in computer science). https://doi.org/10.1007/978-3-319-45348-4_9

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

Abstract

Publication series

Conference

Access to Document

Impuls I - Health - Perinatal Monitoring - TU/e funded

Perinatal Medicine

Cite this