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Digital
Library of the European Council for Modelling and Simulation |
Title: |
Predicting Business
Process Bottlenecks In Online Events Streams Under Concept Drifts |
Authors: |
Yorick Spenrath,
Marwan Hassani |
Published in: |
2020). ECMS 2020 Proceedings
Edited by: Mike Steglich, Christian Muller, Gaby
Neumann, Mathias Walther, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2020 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-68-5 Communications of the ECMS , Volume 34, Issue 1, June 2020, United Kingdom |
Citation
format: |
Yorick Spenrath, Marwan
Hassani (2020). Predicting Business Process
Bottlenecks In Online Events Streams Under Concept Drifts, ECMS 2020 Proceedings Edited By: Mike Steglich, Christian Mueller, Gaby Neumann, Mathias
Walther European Council for Modeling and Simulation. doi: 10.7148/2020-0190 |
DOI: |
https://doi.org/10.7148/2020-0190 |
Abstract: |
Process
performance analysis is an important subtask of process mining that aims at
optimizing the discovered process models. In this paper we focus on improving
process throughput by predicting congestions in the process execution
(bottlenecks). We discuss an ongoing work on incorporating gradual and
seasonal concept drift in this bottleneck prediction. In the field of process
mining, we develop a method of predicting whether and which bottleneck will
likely appear based on data known before a case starts. We introduce GRAHOF,
a Gradual and Recurrent Adaptive Hoeffding Option
Forest approach, which adapts to gradual and seasonal concept drifts when
predicting bottlenecks of business processes in an online setting. We evaluate
the parameters involved in GRAHOF using a synthetic event stream and a
real-world event log. |
Full
text: |