Abstract
Conformance checking allows auditors to detect process deviations automatically, resulting in numerous deviations, with only a few being relevant. Identifying notable items amidst this large data set is challenging. Machine learning techniques offer potential solutions, but questions about the required number of labeled deviations and the impact of label quality remain. Our study investigates these factors' effects on Decision Trees and Random Forests. Results demonstrate these models' effectiveness in identifying notable items within imbalanced deviation populations. Achieving 90% precision and recall is feasible with about 400 to 600 labeled deviations, depending on the notable items' population fraction. A higher fraction of notables reduces the required labeled deviations. Varying label quality produced similar results. Additionally, classifications identifying at least 90% notable items are linked to less complex processes.
Original language | English |
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Title of host publication | Proceedings - 2024 6th International Conference on Process Mining, ICPM 2024 |
Editors | Xixi Lu, Luise Pufahl, Minseok Song |
Publisher | IEEE |
Pages | 49-56 |
Number of pages | 8 |
ISBN (Electronic) | 9798350365030 |
DOIs | |
Publication status | Published - 1 Jan 2024 |
Event | International Conference on Process Mining 2024 - Technical University of Denmark, Lyngby, Denmark Duration: 14 Oct 2024 → 18 Oct 2024 Conference number: 6 https://icpmconference.org/2024/ |
Conference
Conference | International Conference on Process Mining 2024 |
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Abbreviated title | ICPM 2024 |
Country/Territory | Denmark |
City | Lyngby |
Period | 14/10/24 → 18/10/24 |
Other | ICPM has solidified its reputation as the leading event where process mining vendors, consultants, customers, end-users, and researchers can come together to share insights, foster innovation, and explore new frontiers in the field. Staying true to the legacy of previous conferences, ICPM 2024 will provide an extensive program encompassing both industry and scientific facets, along with various sponsorship and exhibition opportunities. |
Internet address |
Keywords
- Auditing
- Conformance Checking
- Deviation Classification
- Machine Learning
- Notable Item
- Process Deviation
- Process Mining