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Event-based failure prediction in distributed business processes

Kurzbeschreibung

Traditionally, research in Business Process Management has put a strong focus on centralized and intra-organizational processes. However, today?s business processes are increasingly distributed, deviating from a centralized layout, and therefore calling for novel methodologies of detecting and responding to unforeseen events, such as errors occurring during process runtime. In this article, we demonstrate how to employ event-based failure prediction in business processes. This approach allows to make use of the best of both traditional Business Process Management Systems and event-based systems. Our approach employs machine learning techniques and considers various types of events. We evaluate our solution using two business process data sets, including one from a real-world event log, and show that we are able to detect errors and predict failures with high accuracy

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Kategorie
Journal Paper
Institut
Workflow Systems and Technology
Journal or Publication Title
Information Systems
ISSN
0306-4379
Datum
2018
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Fakultät für Informatik
Universität Wien

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1090 Wien