Alarm-based prescriptive process monitoring

Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

25 Citations (Scopus)


Predictive process monitoring is concerned with the analysis of events produced during the execution of a process in order to predict the future state of ongoing cases thereof. Existing techniques in this field are able to predict, at each step of a case, the likelihood that the case will end up in an undesired outcome. These techniques, however, do not take into account what process workers may do with the generated predictions in order to decrease the likelihood of undesired outcomes. This paper proposes a framework for prescriptive process monitoring, which extends predictive process monitoring approaches with the concepts of alarms, interventions, compensations, and mitigation effects. The framework incorporates a parameterized cost model to assess the cost-benefit tradeoffs of applying prescriptive process monitoring in a given setting. The paper also outlines an approach to optimize the generation of alarms given a dataset and a set of cost model parameters. The proposed approach is empirically evaluated using a range of real-life event logs.

Original languageEnglish
Title of host publicationBusiness Process Management Forum - BPM Forum 2018, Proceedings
EditorsMarco Montali, Mathias Weske, Jan vom Brocke, Ingo Weber
Place of PublicationCham
Number of pages17
ISBN (Electronic)978-3-319-98651-7
ISBN (Print)978-3-319-98650-0
Publication statusPublished - 1 Jan 2018
Event16th International Conference on Business Process Management (BPM 2018) - Sydney, Australia
Duration: 9 Sept 201814 Sept 2018
Conference number: 16

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference16th International Conference on Business Process Management (BPM 2018)
Abbreviated titleBPM 2018
OtherDissertation Award, Demonstration, and Industrial Track at BPM
Internet address


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