Online Decision Mining and Monitoring in Process-Aware Information Systems

Beate Scheibel, Stefanie Rinderle-Ma

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

3 Scopus citations

Abstract

Decision mining enables discovery of decision rules guiding the control flow in processes. Existing decision mining techniques deal with different kinds of decision rules, e.g., overlapping rules, or including data elements, for example, time series data. Though online process mining and monitoring are gaining traction, online decision mining algorithms are still missing. Decision rules can be, similarly to process models, subject to change during runtime due to, for example, changing regulations or customer requirements. In order to address these runtime challenges, this paper proposes an approach that i) discovers decision rules during runtime and ii) continuously monitors and adapts discovered rules to reflect changes. Furthermore, the concept of a decision rule history is proposed, enabling (manual) identification of change patterns. The feasibility and the applicability of the approach is evaluated based on three synthetic datasets, BPIC12, BPIC20 and sepsis data set.

Original languageEnglish
Title of host publicationConceptual Modeling - 41st International Conference, ER 2022, Proceedings
EditorsJolita Ralyté, Sharma Chakravarthy, Mukesh Mohania, Manfred A. Jeusfeld, Kamalakar Karlapalem
PublisherSpringer Science and Business Media Deutschland GmbH
Pages271-280
Number of pages10
ISBN (Print)9783031179945
DOIs
StatePublished - 2022
Event41st International Conference on Conceptual Modeling, ER 2022 - Virtual, Online
Duration: 17 Oct 202220 Oct 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13607 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference41st International Conference on Conceptual Modeling, ER 2022
CityVirtual, Online
Period17/10/2220/10/22

Keywords

  • Decision rule evolution
  • Decision rule monitoring
  • Online decision mining
  • Process-aware information systems

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