Logo der Universität Wien

Event-based failure prediction in distributed business processes

Abstract

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

Grafik Top
Authors
Grafik Top
Projects
Grafik Top
Citation
Category
Journal Paper
Divisions
Workflow Systems and Technology
Journal or Publication Title
Information Systems
ISSN
0306-4379
Date
2018
Export
Grafik Top
Contact us
Faculty of Computer Science
University of Vienna

Währinger Straße 29
A-1090 Vienna