Cost-Sensitive Predictive Business Process Monitoring
Käppel M, Jablonski S, Schönig S (2021)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2021
Publisher: Springer
Series: Communications in Computer and Information Science
City/Town: Cham
Book Volume: 1450
Pages Range: 14-26
Conference Proceedings Title: New Trends in Database and Information Systems ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings
Event location: Tartu
ISBN: 978-3-030-85081-4
URI: https://link.springer.com/chapter/10.1007/978-3-030-85082-1_2
DOI: 10.1007/978-3-030-85082-1_2
Abstract
In predictive business process monitoring current and historical process data from event logs is used to predict the evolvement of running process instances. A wide number of machine learning approaches, especially different types of artificial neural networks, are successfully applied for this task. Nevertheless, experimental studies revealed that the resulting predictive models are not able to properly predict non-frequent activities. In this paper we investigate the usefulness of the concept of cost-sensitive learning, which introduces a cost model for different activities to better represent them in the training phase. An evaluation of this concept applied to common predictive monitoring approaches on various real life event logs shows encouraging results.
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Germany (DE)How to cite
APA:
Käppel, M., Jablonski, S., & Schönig, S. (2021). Cost-Sensitive Predictive Business Process Monitoring. In Bellatreche, Ladjel Dumas, Marlon Karras, Panagiotis Matulevičius, Raimundas Awad, Ahmed Weidlich, Matthias Ivanović, Mirjana Hartig, Olaf (Eds.), New Trends in Database and Information Systems ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings (pp. 14-26). Tartu, EE: Cham: Springer.
MLA:
Käppel, Martin, Stefan Jablonski, and Stefan Schönig. "Cost-Sensitive Predictive Business Process Monitoring." Proceedings of the European Conference on Advances in Databases and Information Systems, Tartu Ed. Bellatreche, Ladjel Dumas, Marlon Karras, Panagiotis Matulevičius, Raimundas Awad, Ahmed Weidlich, Matthias Ivanović, Mirjana Hartig, Olaf, Cham: Springer, 2021. 14-26.
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