Modeling and discovering cancelation behavior

M. Leemans; W.M.P. van der Aalst

doi:10.1007/978-3-319-69462-7_8

Modeling and discovering cancelation behavior

M. Leemans, W.M.P. van der Aalst

Process Science

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

11 Citations (Scopus)

2 Downloads (Pure)

Abstract

This paper presents a novel extension to the process tree model to support cancelation behavior, and proposes a novel process discovery technique to discover sound, fitting models with cancelation features. The proposed discovery technique relies on a generic error oracle function, and allows us to discover complex combinations of multiple, possibly nested cancelation regions based on observed behavior. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-life event logs demonstrate the feasibility and usefulness of the approach.

Original language	English
Title of host publication	On the Move to Meaningful Internet Systems. OTM 2017 Conferences
Subtitle of host publication	Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I
Editors	H. Panetto, C. Debruyne, W. Galoul, M. Papazoglou, A. Paschke, C. Agostino Ardagna
Place of Publication	Dordrecht
Publisher	Springer
Pages	93-113
Number of pages	21
ISBN (Electronic)	978-3-319-69462-7
ISBN (Print)	978-3-319-69461-0
DOIs	https://doi.org/10.1007/978-3-319-69462-7_8
Publication status	Published - 2017
Event	Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 - Rhodes, Greece Duration: 23 Sep 2017 → 27 Sep 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10573 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017
Country/Territory	Greece
City	Rhodes
Period	23/09/17 → 27/09/17

Keywords

Cancelation discovery
Cancelation modeling
Event logs
Process discovery
Process mining
Process trees
Reset nets

Access to Document

10.1007/978-3-319-69462-7_8

Cite this

Leemans, M., & van der Aalst, W. M. P. (2017). Modeling and discovering cancelation behavior. In H. Panetto, C. Debruyne, W. Galoul, M. Papazoglou, A. Paschke, & C. Agostino Ardagna (Eds.), On the Move to Meaningful Internet Systems. OTM 2017 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I (pp. 93-113). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10573 LNCS). Springer. https://doi.org/10.1007/978-3-319-69462-7_8

Leemans, M. ; van der Aalst, W.M.P. / Modeling and discovering cancelation behavior. On the Move to Meaningful Internet Systems. OTM 2017 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I. editor / H. Panetto ; C. Debruyne ; W. Galoul ; M. Papazoglou ; A. Paschke ; C. Agostino Ardagna. Dordrecht : Springer, 2017. pp. 93-113 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Modeling and discovering cancelation behavior",

abstract = "This paper presents a novel extension to the process tree model to support cancelation behavior, and proposes a novel process discovery technique to discover sound, fitting models with cancelation features. The proposed discovery technique relies on a generic error oracle function, and allows us to discover complex combinations of multiple, possibly nested cancelation regions based on observed behavior. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-life event logs demonstrate the feasibility and usefulness of the approach.",

keywords = "Cancelation discovery, Cancelation modeling, Event logs, Process discovery, Process mining, Process trees, Reset nets",

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Leemans, M & van der Aalst, WMP 2017, Modeling and discovering cancelation behavior. in H Panetto, C Debruyne, W Galoul, M Papazoglou, A Paschke & C Agostino Ardagna (eds), On the Move to Meaningful Internet Systems. OTM 2017 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10573 LNCS, Springer, Dordrecht, pp. 93-113, Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017, Rhodes, Greece, 23/09/17. https://doi.org/10.1007/978-3-319-69462-7_8

Modeling and discovering cancelation behavior. / Leemans, M.; van der Aalst, W.M.P.

On the Move to Meaningful Internet Systems. OTM 2017 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I. ed. / H. Panetto; C. Debruyne; W. Galoul; M. Papazoglou; A. Paschke; C. Agostino Ardagna. Dordrecht : Springer, 2017. p. 93-113 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10573 LNCS).

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

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AB - This paper presents a novel extension to the process tree model to support cancelation behavior, and proposes a novel process discovery technique to discover sound, fitting models with cancelation features. The proposed discovery technique relies on a generic error oracle function, and allows us to discover complex combinations of multiple, possibly nested cancelation regions based on observed behavior. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-life event logs demonstrate the feasibility and usefulness of the approach.

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Leemans M, van der Aalst WMP. Modeling and discovering cancelation behavior. In Panetto H, Debruyne C, Galoul W, Papazoglou M, Paschke A, Agostino Ardagna C, editors, On the Move to Meaningful Internet Systems. OTM 2017 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I. Dordrecht: Springer. 2017. p. 93-113. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-69462-7_8

Modeling and discovering cancelation behavior

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