Entropic relevance: A mechanism for measuring stochastic process models discovered from event data-Reference-Cited by-同舟云学术

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

Published:2021-11 Issue: Volume: Page:101922
ISSN:0306-4379
Container-title:Information Systems
language:en
Short-container-title:Information Systems

Author:

Alkhammash Hanan^ORCID,Polyvyanyy Artem^ORCID,Moffat Alistair^ORCID,García-Bañuelos Luciano^ORCID

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference39 articles.

1. A practitioner’s guide to process mining: Limitations of the directly-follows graph;van der Aalst;Procedia Comput. Sci.,2019

2. Conformance checking - relating processes and models;Carmona,2018

3. Elements of Information Theory;Cover,2006

4. Stochastic grammars and languages;Fu;Int. J. Parallel Program.,1972

5. Discovering stochastic Petri nets with arbitrary delay distributions from event logs;Rogge-Solti,2013

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2. Enjoy the silence: Analysis of stochastic Petri nets with silent transitions;Information Systems;2024-09

3. Comparing Conformance Checking for Decision Mining: An Axiomatic Approach;IEEE Access;2024

4. Stochastic Directly-Follows Process Discovery Using Grammatical Inference;Lecture Notes in Computer Science;2024

5. Stochastic Process Discovery: Can It Be Done Optimally?;Lecture Notes in Computer Science;2024

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