Abstract
In complex systems one can often identify various entities or artifacts. The lifecycles of these artifacts and the loosely coupled interactions between them define the system behavior. The analysis of such artifact system behavior with traditional process discovery techniques is often problematic due to the existence of many-to-many relationships between artifacts, resulting in models that are difficult to understand and statistics that are inaccurate. The aim of this work is to address these issues and enable the calculation of statistics regarding the synchronisation of behaviour between artifact instances. By using a Petri net formalisation with step sequence execution semantics to support true concurrency, we create state-based artifact lifecycle models that support many-to-many relations between artifacts. The approach has been implemented as an interactive visualisation in ProM and evaluated using real-life public data.
Original language | English |
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Title of host publication | Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers |
Editors | Florian Daniel, Quan Z. Sheng, Hamid Motahari |
Place of Publication | Cham |
Publisher | Springer |
Pages | 18-30 |
Number of pages | 13 |
ISBN (Electronic) | 978-3-030-11641-5 |
ISBN (Print) | 978-3-030-11640-8 |
DOIs | |
Publication status | Published - 1 Jan 2019 |
Event | 16th International Conference on Business Process Management, BPM International Workshops 2018 - Sydney, Australia Duration: 9 Sep 2018 → 14 Sep 2018 |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 342 |
ISSN (Print) | 1865-1348 |
Conference
Conference | 16th International Conference on Business Process Management, BPM International Workshops 2018 |
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Country | Australia |
City | Sydney |
Period | 9/09/18 → 14/09/18 |
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Multi-instance mining : discovering synchronisation in artifact-centric processes. / van Eck, Maikel L.; Sidorova, Natalia; van der Aalst, Wil M.P.
Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. ed. / Florian Daniel; Quan Z. Sheng; Hamid Motahari. Cham : Springer, 2019. p. 18-30 (Lecture Notes in Business Information Processing; Vol. 342).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Multi-instance mining
T2 - discovering synchronisation in artifact-centric processes
AU - van Eck, Maikel L.
AU - Sidorova, Natalia
AU - van der Aalst, Wil M.P.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - In complex systems one can often identify various entities or artifacts. The lifecycles of these artifacts and the loosely coupled interactions between them define the system behavior. The analysis of such artifact system behavior with traditional process discovery techniques is often problematic due to the existence of many-to-many relationships between artifacts, resulting in models that are difficult to understand and statistics that are inaccurate. The aim of this work is to address these issues and enable the calculation of statistics regarding the synchronisation of behaviour between artifact instances. By using a Petri net formalisation with step sequence execution semantics to support true concurrency, we create state-based artifact lifecycle models that support many-to-many relations between artifacts. The approach has been implemented as an interactive visualisation in ProM and evaluated using real-life public data.
AB - In complex systems one can often identify various entities or artifacts. The lifecycles of these artifacts and the loosely coupled interactions between them define the system behavior. The analysis of such artifact system behavior with traditional process discovery techniques is often problematic due to the existence of many-to-many relationships between artifacts, resulting in models that are difficult to understand and statistics that are inaccurate. The aim of this work is to address these issues and enable the calculation of statistics regarding the synchronisation of behaviour between artifact instances. By using a Petri net formalisation with step sequence execution semantics to support true concurrency, we create state-based artifact lifecycle models that support many-to-many relations between artifacts. The approach has been implemented as an interactive visualisation in ProM and evaluated using real-life public data.
UR - http://www.scopus.com/inward/record.url?scp=85061365464&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-11641-5_2
DO - 10.1007/978-3-030-11641-5_2
M3 - Conference contribution
AN - SCOPUS:85061365464
SN - 978-3-030-11640-8
T3 - Lecture Notes in Business Information Processing
SP - 18
EP - 30
BT - Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers
A2 - Daniel, Florian
A2 - Sheng, Quan Z.
A2 - Motahari, Hamid
PB - Springer
CY - Cham
ER -