Comparing Conformance Checking for Decision Mining: An Axiomatic Approach-Reference-Cited by-同舟云学术

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Comparing Conformance Checking for Decision Mining: An Axiomatic Approach

Published:2024 Issue: Volume:12 Page:60276-60298
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Banham Adam¹^ORCID,Hofstede Arthur H. M. Ter¹^ORCID,Leemans Sander J. J.²^ORCID,Mannhardt Felix³^ORCID,Andrews Robert¹^ORCID,Wynn Moe T.¹^ORCID

Affiliation:

1. School of Information Systems, Queensland University of Technology, Brisbane, QLD, Australia

2. Department of Mathematics and Computer Science, RWTH Aachen University, Aachen, Germany

3. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, AZ, The Netherlands

Funder

Australian Government Research Training Program Scholarship

Queensland University of Technology, Centre for Data Science Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10504896.pdf?arnumber=10504896

Reference41 articles.

1. Process Mining

2. Relating process models and event logs—21 conformance propositions;van der Aalst

3. Workflow mining: discovering process models from event logs

4. Aligning observed and modeled behavior;Adriansyah,2014

5. Entropic relevance: A mechanism for measuring stochastic process models discovered from event data

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