| Item Type |
Conference or Workshop Item
(Paper)
|
| Abstract |
Process mining enables organizations to streamline and automate their business processes. The initial phases of process mining projects often include exploration activities aimed to familiarize with the data and understand the process. Despite being a crucial step of many analyses, exploration can be challenging and may demand targeted guidance and support. Still, little attention has been paid to understanding how process analysts approach this exploratory phase. With this goal in mind, in this paper, we report the results of an empirical study investigating exploration practices in process mining. Our study reveals that analysts follow different behavior patterns when exploring event logs and enact various strategies to understand the data and gain new insights. The results remark the need for a deeper understanding of process mining practices and inform future research directions to better support process analysts and explain the cognitive processes underlying the analysis. |
| Authors |
Zerbato, Francesca; Soffer, Pnina & Weber, Barbara |
| Journal or Publication Title |
Lecture Notes in Business Information Processing |
| Language |
English |
| Subjects |
computer science |
| HSG Classification |
contribution to scientific community |
| Date |
August 2021 |
| Publisher |
Springer |
| Place of Publication |
Cham |
| Volume |
427 |
| Page Range |
145-161 |
| Number of Pages |
16 |
| Title of Book |
Business Process Management Forum (BPM 2021) |
| Event Title |
21st International Conference in Business Process Management (BPM 2021) |
| Event Location |
Rome |
| Event Dates |
6-10 September 2021 |
| ISSN |
1865-1348 |
| Publisher DOI |
https://doi.org/10.1007/978-3-030-85440-9_9 |
| Official URL |
https://link.springer.com/chapter/10.1007/978-3-03... |
| Depositing User |
Ph.D. Francesca Zerbato
|
| Date Deposited |
30 Sep 2021 18:58 |
| Last Modified |
20 Jul 2022 17:46 |
| URI: |
https://www.alexandria.unisg.ch/publications/264484 |
Initial Insights into Exploratory Process Mining Practices
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