On the Contextualization of Event-Activity Mappings

Agnes Koschmider; Felix Mannhardt; Tobias Heuser

doi:10.1007/978-3-030-11641-5_35

On the Contextualization of Event-Activity Mappings

Agnes Koschmider, Felix Mannhardt, Tobias Heuser

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

23 Citations (Scopus)

Abstract

Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities is a considerable challenge. The current status-quo is that approaches indicate only likelihoods of mappings, since there is often more than one possible solution. To increase the quality of event to activity mappings this paper derives a contextualization for event-activity mappings and argues for a stronger consideration of contextual factors. Based on a literature review, the paper provides a framework for classifying context factors for event-activity mappings. We aim to apply this framework to improve the accuracy of event-activity mappings and, thereby, process mining results in scenarios with low-level events.

Original language	English
Title of host publication	Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers
Editors	Florian Daniel, Quan Z. Sheng, Hamid Motahari
Publisher	Springer
Pages	445-457
Number of pages	13
ISBN (Print)	9783030116408
DOIs	https://doi.org/10.1007/978-3-030-11641-5_35
Publication status	Published - 2019
Externally published	Yes
Event	16th International Conference on Business Process Management (BPM 2018) - Sydney, Australia Duration: 9 Sept 2018 → 14 Sept 2018 Conference number: 16 http://ceur-ws.org/Vol-2196/

Publication series

Name	Lecture Notes in Business Information Processing
Volume	342
ISSN (Print)	1865-1348

Conference

Conference	16th International Conference on Business Process Management (BPM 2018)
Abbreviated title	BPM 2018
Country/Territory	Australia
City	Sydney
Period	9/09/18 → 14/09/18
Other	Dissertation Award, Demonstration, and Industrial Track at BPM
Internet address	http://ceur-ws.org/Vol-2196/

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10.1007/978-3-030-11641-5_35

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Koschmider, A., Mannhardt, F., & Heuser, T. (2019). On the Contextualization of Event-Activity Mappings. In F. Daniel, Q. Z. Sheng, & H. Motahari (Eds.), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers (pp. 445-457). (Lecture Notes in Business Information Processing; Vol. 342). Springer. https://doi.org/10.1007/978-3-030-11641-5_35

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title = "On the Contextualization of Event-Activity Mappings",

abstract = "Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities is a considerable challenge. The current status-quo is that approaches indicate only likelihoods of mappings, since there is often more than one possible solution. To increase the quality of event to activity mappings this paper derives a contextualization for event-activity mappings and argues for a stronger consideration of contextual factors. Based on a literature review, the paper provides a framework for classifying context factors for event-activity mappings. We aim to apply this framework to improve the accuracy of event-activity mappings and, thereby, process mining results in scenarios with low-level events.",

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Koschmider, A, Mannhardt, F & Heuser, T 2019, On the Contextualization of Event-Activity Mappings. in F Daniel, QZ Sheng & H Motahari (eds), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Lecture Notes in Business Information Processing, vol. 342, Springer, pp. 445-457, 16th International Conference on Business Process Management (BPM 2018), Sydney, Australia, 9/09/18. https://doi.org/10.1007/978-3-030-11641-5_35

On the Contextualization of Event-Activity Mappings. / Koschmider, Agnes; Mannhardt, Felix; Heuser, Tobias.
Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. ed. / Florian Daniel; Quan Z. Sheng; Hamid Motahari. Springer, 2019. p. 445-457 (Lecture Notes in Business Information Processing; Vol. 342).

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

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N2 - Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities is a considerable challenge. The current status-quo is that approaches indicate only likelihoods of mappings, since there is often more than one possible solution. To increase the quality of event to activity mappings this paper derives a contextualization for event-activity mappings and argues for a stronger consideration of contextual factors. Based on a literature review, the paper provides a framework for classifying context factors for event-activity mappings. We aim to apply this framework to improve the accuracy of event-activity mappings and, thereby, process mining results in scenarios with low-level events.

AB - Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities is a considerable challenge. The current status-quo is that approaches indicate only likelihoods of mappings, since there is often more than one possible solution. To increase the quality of event to activity mappings this paper derives a contextualization for event-activity mappings and argues for a stronger consideration of contextual factors. Based on a literature review, the paper provides a framework for classifying context factors for event-activity mappings. We aim to apply this framework to improve the accuracy of event-activity mappings and, thereby, process mining results in scenarios with low-level events.

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On the Contextualization of Event-Activity Mappings

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