Predictive business process monitoring with context information from documents
Weinzierl S, Revoredo K, Matzner M (2019)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2019
Publisher: AISeL
Pages Range: 1 - 10
Conference Proceedings Title: Proceedings of the 27th European Conference on Information Systems
Event location: Stockholm
Abstract
Predictive business process monitoring deals with predicting a process’s future behavior or the value of
process-related performance indicators based on process event data. A variety of prototypical predictive
business process monitoring techniques has been proposed by researchers in order to help process
participants performing business processes better. In practical settings, these techniques have a low
predictive quality that is often close to random, so that predictive business process monitoring applications
are rare in practice. The inclusion of process-context data has been discussed as a way to improve the
predictive quality. Existing approaches have considered only structured data as context. In this paper, we
argue that process-related unstructured documents are also a promising source for extracting process-
context data. Accordingly, this research-in-progress paper outlines a design-science research process for
creating a predictive business process monitoring technique that utilizes context data from process-related
documents to predict a process instance’s next activity more accurately.
Authors with CRIS profile
Sven Weinzierl
Lehrstuhl für Digital Industrial Service Systems
Martin Matzner
Lehrstuhl für Digital Industrial Service Systems
Related research project(s)
How to cite
APA:
Weinzierl, S., Revoredo, K., & Matzner, M. (2019). Predictive business process monitoring with context information from documents. In Proceedings of the 27th European Conference on Information Systems (pp. 1 - 10). Stockholm, SE: AISeL.
MLA:
Weinzierl, Sven, Kate Revoredo, and Martin Matzner. "Predictive business process monitoring with context information from documents." Proceedings of the European Conference on Information Systems, Stockholm AISeL, 2019. 1 - 10.
BibTeX: Download