Multi-perspective process mining

Felix Mannhardt

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Process mining methods analyze an organization’s processes by using process execution data. During the handling of a process instance data about the execution of activities is recorded. Process mining uses such data to gain insights about the real execution of processes. In this thesis, we address research challenges in which a multi-perspective view on processes is needed and that look beyond the control-flow perspective, which defines the sequence of activities of a process. We consider problems in which multiple interacting process perspectives — in particular control-flow, data, resources, time, and functions — are considered together. The contributed methods span several types of process mining: two are concerned with conformance checking, two are process discovery techniques, and one is a decision mining method. All methods have been implemented, evaluated, and applied in the context of four case studies.

LanguageEnglish
Title of host publicationProceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018
Subtitle of host publicationSydney, Australia, September 9-14, 2018.
EditorsWil van den Aalst, Fabio Casati, Raffaele Conforti, Massimiliano de Leoni, Marlon Dumas, Akhil Kumar, Jan Mendling, Surya Nepal, Brian Pentland, Barbara Weber
PublisherCEUR-WS.org
Pages41-45
Number of pages5
StatePublished - 1 Jan 2018
EventDissertation Award, Demonstration, and Industrial Track at BPM, BPMTracks 2018 - Sydney, Australia
Duration: 9 Sep 201814 Sep 2018
http://ceur-ws.org/Vol-2196/

Publication series

NameCEUR Workshop Proceedings
No.2196
ISSN (Print)1613-0073

Conference

ConferenceDissertation Award, Demonstration, and Industrial Track at BPM, BPMTracks 2018
Abbreviated titleBPMTracks 2018
CountryAustralia
CitySydney
Period9/09/1814/09/18
Internet address

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Mannhardt, F. (2018). Multi-perspective process mining. In W. van den Aalst, F. Casati, R. Conforti, M. de Leoni, M. Dumas, A. Kumar, J. Mendling, S. Nepal, B. Pentland, ... B. Weber (Eds.), Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018: Sydney, Australia, September 9-14, 2018. (pp. 41-45). (CEUR Workshop Proceedings; No. 2196). CEUR-WS.org.
Mannhardt, Felix. / Multi-perspective process mining. Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018: Sydney, Australia, September 9-14, 2018.. editor / Wil van den Aalst ; Fabio Casati ; Raffaele Conforti ; Massimiliano de Leoni ; Marlon Dumas ; Akhil Kumar ; Jan Mendling ; Surya Nepal ; Brian Pentland ; Barbara Weber. CEUR-WS.org, 2018. pp. 41-45 (CEUR Workshop Proceedings; 2196).
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abstract = "Process mining methods analyze an organization’s processes by using process execution data. During the handling of a process instance data about the execution of activities is recorded. Process mining uses such data to gain insights about the real execution of processes. In this thesis, we address research challenges in which a multi-perspective view on processes is needed and that look beyond the control-flow perspective, which defines the sequence of activities of a process. We consider problems in which multiple interacting process perspectives — in particular control-flow, data, resources, time, and functions — are considered together. The contributed methods span several types of process mining: two are concerned with conformance checking, two are process discovery techniques, and one is a decision mining method. All methods have been implemented, evaluated, and applied in the context of four case studies.",
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Mannhardt, F 2018, Multi-perspective process mining. in W van den Aalst, F Casati, R Conforti, M de Leoni, M Dumas, A Kumar, J Mendling, S Nepal, B Pentland & B Weber (eds), Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018: Sydney, Australia, September 9-14, 2018.. CEUR Workshop Proceedings, no. 2196, CEUR-WS.org, pp. 41-45, Dissertation Award, Demonstration, and Industrial Track at BPM, BPMTracks 2018, Sydney, Australia, 9/09/18.

Multi-perspective process mining. / Mannhardt, Felix.

Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018: Sydney, Australia, September 9-14, 2018.. ed. / Wil van den Aalst; Fabio Casati; Raffaele Conforti; Massimiliano de Leoni; Marlon Dumas; Akhil Kumar; Jan Mendling; Surya Nepal; Brian Pentland; Barbara Weber. CEUR-WS.org, 2018. p. 41-45 (CEUR Workshop Proceedings; No. 2196).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Mannhardt F. Multi-perspective process mining. In van den Aalst W, Casati F, Conforti R, de Leoni M, Dumas M, Kumar A, Mendling J, Nepal S, Pentland B, Weber B, editors, Proceedings of the Dissertation Award, Demonstration, and Industrial Track at BPM 2018: Sydney, Australia, September 9-14, 2018.. CEUR-WS.org. 2018. p. 41-45. (CEUR Workshop Proceedings; 2196).