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Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms · Study

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ArticleGenerating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms

Toon Jouck2018

Article2018

Generating Artificial Data for Empirical Analysis of Control-flow Discovery Algorithms

Toon Jouck · Benoît Depaire

29 citations·0/0 files stored·Business & Information Systems Engineering

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Business Process Modeling and Analysis Software Testing and Debugging Techniques Data Mining Algorithms and Applications

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References

1998THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT 2018Fundamentals of Business Process Management 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2006Statistics for experimenters: design, innovation, and discovery 2013Fundamentals of Business Process Management 2016Process Mining: Data Science in Action 2014Simulation: The Practice of Model Development and Use 2012Replaying history on process models for conformance checking and performance analysis

Cited by

2020Partial order resolution of event logs for process conformance checking 2019Efficient Process Conformance Checking on the Basis of Uncertain Event-to-Activity Mappings 2020Translating Workflow Nets to Process Trees: An Algorithmic Approach 2018Towards Confirmatory Process Discovery: Making Assertions About the Underlying System

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2017Discovering workflow nets using integer linear programmingarticle · 11 shared references 2017Event stream-based process discovery using abstract representationsarticle · 10 shared references 2015Extracting Event Data from Databases to Unleash Process Miningchapter · 9 shared references 2013Discovering Petri Nets from Event Logsother · 9 shared references 2019Stage-based discovery of business process models from event logsarticle · 9 shared references 2016Scalable process discovery and conformance checkingarticle · 8 shared references

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Year2018

Typearticle

Published2018-04-23

VenueBusiness & Information Systems Engineering

ISSN-L1867-0202

Languageen

Citations29

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/s12599-018-0541-5

openalex_workW2336423265

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