Towards Understanding the Role of the Human in Event Log Extraction

Vinicius Stein Dani; Henrik Leopold; Jan Martijn van der Werf; Xixi Lu; Iris Beerepoot; Jelmer Koorn; Hajo Reijers

doi:10.1007/978-3-030-94343-1_7

Towards Understanding the Role of the Human in Event Log Extraction

Vinicius Stein Dani^*, Henrik Leopold, Jan Martijn van der Werf, Xixi Lu, Iris Beerepoot, Jelmer Koorn, Hajo Reijers

^*Corresponding author for this work

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

Abstract

Process mining is widely used to visualize, analyze, and improve business processes. However, often its application is hindered by the considerable preparation effort that needs to be conducted by humans. One of the key tasks required in this context is obtaining the input artifact for process mining techniques: the event log. The data that is required for building such an event log typically needs to be collected from several databases and then transformed into a suitable format. While it has become clear to both academics and practitioners that the amount of human work is substantial, there is no deep understanding of the exact activities humans need to perform. Therefore, we use this paper to develop a precise understanding of how humans are involved in event log extraction. Based on a structured literature review and qualitative data coding, we derive a taxonomy of human tasks in event log extraction. This taxonomy can serve as input for both future automation efforts, as well as for process mining methodologies.

Original language	English
Title of host publication	Business Process Management Workshops
Subtitle of host publication	BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers
Editors	Andrea Marrella, Barbara Weber
Publisher	Springer
Pages	86-98
Number of pages	13
ISBN (Electronic)	978-3-030-94343-1
ISBN (Print)	978-3-030-94343-1, 978-3-030-94342-4
DOIs	https://doi.org/10.1007/978-3-030-94343-1_7
Publication status	Published - 25 Jan 2022
Event	17th International Workshop on Business Process Intelligence - Rome, Italy Duration: 6 Sept 2021 → … https://feb.kuleuven.be/drc/LIRIS/misc/bpiworkshop/bpi21#program

Publication series

Name	Lecture Notes in Business Information Processing
Volume	436 LNBIP
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	17th International Workshop on Business Process Intelligence
Abbreviated title	BPI
Country/Territory	Italy
City	Rome
Period	6/09/21 → …
Internet address	https://feb.kuleuven.be/drc/LIRIS/misc/bpiworkshop/bpi21#program

Keywords

Event log extraction
Human tasks
Process mining

Access to Document

10.1007/978-3-030-94343-1_7

978-3-030-94343-1_7Final published version, 396 KBLicence: Taverne

Cite this

Stein Dani, V., Leopold, H., van der Werf, J. M., Lu, X., Beerepoot, I., Koorn, J., & Reijers, H. (2022). Towards Understanding the Role of the Human in Event Log Extraction. In A. Marrella, & B. Weber (Eds.), Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers (pp. 86-98). (Lecture Notes in Business Information Processing; Vol. 436 LNBIP). Springer. https://doi.org/10.1007/978-3-030-94343-1_7

Stein Dani, Vinicius ; Leopold, Henrik ; van der Werf, Jan Martijn et al. / Towards Understanding the Role of the Human in Event Log Extraction. Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers. editor / Andrea Marrella ; Barbara Weber. Springer, 2022. pp. 86-98 (Lecture Notes in Business Information Processing).

@inproceedings{2c014c5579544252bea4dbc0aee01e0f,

title = "Towards Understanding the Role of the Human in Event Log Extraction",

abstract = "Process mining is widely used to visualize, analyze, and improve business processes. However, often its application is hindered by the considerable preparation effort that needs to be conducted by humans. One of the key tasks required in this context is obtaining the input artifact for process mining techniques: the event log. The data that is required for building such an event log typically needs to be collected from several databases and then transformed into a suitable format. While it has become clear to both academics and practitioners that the amount of human work is substantial, there is no deep understanding of the exact activities humans need to perform. Therefore, we use this paper to develop a precise understanding of how humans are involved in event log extraction. Based on a structured literature review and qualitative data coding, we derive a taxonomy of human tasks in event log extraction. This taxonomy can serve as input for both future automation efforts, as well as for process mining methodologies. ",

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author = "{Stein Dani}, Vinicius and Henrik Leopold and {van der Werf}, {Jan Martijn} and Xixi Lu and Iris Beerepoot and Jelmer Koorn and Hajo Reijers",

note = "Funding Information: Acknowledgments. Part of this research was funded by NWO (Netherlands Organisation for Scientific Research) project number 16672. Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 17th International Workshop on Business Process Intelligence, BPI ; Conference date: 06-09-2021",

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Stein Dani, V , Leopold, H , van der Werf, JM , Lu, X , Beerepoot, I, Koorn, J & Reijers, H 2022, Towards Understanding the Role of the Human in Event Log Extraction. in A Marrella & B Weber (eds), Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers. Lecture Notes in Business Information Processing, vol. 436 LNBIP, Springer, pp. 86-98, 17th International Workshop on Business Process Intelligence, Rome, Italy, 6/09/21. https://doi.org/10.1007/978-3-030-94343-1_7

Towards Understanding the Role of the Human in Event Log Extraction. / Stein Dani, Vinicius ; Leopold, Henrik ; van der Werf, Jan Martijn et al.
Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers. ed. / Andrea Marrella; Barbara Weber. Springer, 2022. p. 86-98 (Lecture Notes in Business Information Processing; Vol. 436 LNBIP).

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

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AU - Leopold, Henrik

AU - van der Werf, Jan Martijn

AU - Lu, Xixi

AU - Beerepoot, Iris

AU - Koorn, Jelmer

AU - Reijers, Hajo

N1 - Funding Information: Acknowledgments. Part of this research was funded by NWO (Netherlands Organisation for Scientific Research) project number 16672. Publisher Copyright: © 2022, Springer Nature Switzerland AG.

PY - 2022/1/25

Y1 - 2022/1/25

N2 - Process mining is widely used to visualize, analyze, and improve business processes. However, often its application is hindered by the considerable preparation effort that needs to be conducted by humans. One of the key tasks required in this context is obtaining the input artifact for process mining techniques: the event log. The data that is required for building such an event log typically needs to be collected from several databases and then transformed into a suitable format. While it has become clear to both academics and practitioners that the amount of human work is substantial, there is no deep understanding of the exact activities humans need to perform. Therefore, we use this paper to develop a precise understanding of how humans are involved in event log extraction. Based on a structured literature review and qualitative data coding, we derive a taxonomy of human tasks in event log extraction. This taxonomy can serve as input for both future automation efforts, as well as for process mining methodologies.

AB - Process mining is widely used to visualize, analyze, and improve business processes. However, often its application is hindered by the considerable preparation effort that needs to be conducted by humans. One of the key tasks required in this context is obtaining the input artifact for process mining techniques: the event log. The data that is required for building such an event log typically needs to be collected from several databases and then transformed into a suitable format. While it has become clear to both academics and practitioners that the amount of human work is substantial, there is no deep understanding of the exact activities humans need to perform. Therefore, we use this paper to develop a precise understanding of how humans are involved in event log extraction. Based on a structured literature review and qualitative data coding, we derive a taxonomy of human tasks in event log extraction. This taxonomy can serve as input for both future automation efforts, as well as for process mining methodologies.

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Stein Dani V , Leopold H , van der Werf JM , Lu X , Beerepoot I, Koorn J et al. Towards Understanding the Role of the Human in Event Log Extraction. In Marrella A, Weber B, editors, Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers. Springer. 2022. p. 86-98. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-030-94343-1_7

Towards Understanding the Role of the Human in Event Log Extraction

Abstract

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Keywords

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