Abstract
This paper addresses the problem of comparing different variants of the same process. We aim to detect relevant differences between processes based on what was recorded in event logs. We use transition systems to model behavior and to highlight differences. Transition systems are annotated with measurements, used to compare the behavior in the variants. The results are visualized as transitions systems, which are colored to pinpoint the significant differences. The approach has been implemented in ProM, and the implementation is publicly available. We validated our approach by performing experiments using real-life event data. The results show how our technique is able to detect relevant differences undetected by previous approaches while it avoids detecting insignificant differences.
Original language | English |
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Title of host publication | Advanced Information Systems Engineering |
Subtitle of host publication | 28th International Conference, CAiSE 2016, Ljubljana, Slovenia, June 13-17, 2016. Proceedings |
Editors | S. Nurcan, P. Soffer, M. Bajec, J. Eder |
Place of Publication | Dordrecht |
Publisher | Springer |
Pages | 151-166 |
Number of pages | 16 |
ISBN (Electronic) | 978-3-319-39696-5 |
ISBN (Print) | 978-3-319-39695-8 |
DOIs | |
Publication status | Published - 2016 |
Event | 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) - Ljubljana, Slovenia Duration: 13 Jun 2016 → 17 Jun 2016 Conference number: 28 http://caise2016.si/ |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 9694 |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) |
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Abbreviated title | CAiSE '16 |
Country/Territory | Slovenia |
City | Ljubljana |
Period | 13/06/16 → 17/06/16 |
Other | "Information Systems for Connecting People" |
Internet address |
Keywords
- Annotated transition system
- Process mining
- Process variants comparison
- Statistical significance