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

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

22 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/Territory	Brazil
City	Rio de Janeiro
Period	18/09/16 → 22/09/16
Other	2016 BPM Demo Track, BPMD 2016, co-located with the 14th International Conference on Business Process Management, BPM 2016
Internet address	http://bpm2016.uniriotec.br/

Access to Document

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

http://www.processmining.org/_media/blogs/pub2016/discoveringexploringmultiperspectiveprocesses.pdf

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).

@inproceedings{9c83ad3039df45bba803a519df8ce6ab,

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.",

author = "{van Eck}, M.L. and N. Sidorova and {van der Aalst}, W.M.P.",

year = "2016",

doi = "10.1007/978-3-319-45348-4_9",

language = "English",

isbn = "978-3-319-45347-7",

series = "Lecture notes in computer science",

publisher = "Springer",

pages = "142--157",

editor = "{La Rosa}, M. and P. Loos and O. Pastor",

booktitle = "Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings",

address = "Germany",

note = "14th International Conference on Business Process Management (BPM 2016), BPM 2016 ; Conference date: 18-09-2016 Through 22-09-2016",

url = "http://bpm2016.uniriotec.br/",

}

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

TY - GEN

T1 - Discovering and Exploring State-based Models for Multi-perspective Processes

AU - van Eck, M.L.

AU - Sidorova, N.

AU - van der Aalst, W.M.P.

N1 - Conference code: 14

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84989321775&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-45348-4_9

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

M3 - Conference contribution

AN - SCOPUS:84989321775

SN - 978-3-319-45347-7

T3 - Lecture notes in computer science

SP - 142

EP - 157

BT - Business Process Management : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18–22, 2016. Proceedings

A2 - La Rosa, M.

A2 - Loos, P.

A2 - Pastor, O.

PB - Springer

CY - Dordrecht

T2 - 14th International Conference on Business Process Management (BPM 2016)

Y2 - 18 September 2016 through 22 September 2016

ER -

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

Other files and links

Fingerprint

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

Perinatal Medicine

Cite this

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

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Projects

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

Impacts

Perinatal Medicine

Cite this