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Discovering Stochastic Petri Nets with Arbitrary Delay Distributions from Event Logs · Study

WorkDiscovering Stochastic Petri Nets with Arbitrary Delay Distributions from Event Logs

Andreas Solti2014

Work2014

Discovering Stochastic Petri Nets with Arbitrary Delay Distributions from Event Logs

Andreas Solti · Wil M. P. van der Aalst · Mathias Weske

85 citations·0/0 files stored·Lecture notes in business information processing

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Business Process Modeling and Analysis Simulation Techniques and Applications Petri Nets in System Modeling

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References

2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2012Replaying history on process models for conformance checking and performance analysis 2011Conformance Checking Using Cost-Based Fitness Analysis 2008Discovering simulation models 2009Petri Net Transformations for Business Processes – A Survey 2012Repairing Process Models to Reflect Reality

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2020Recommendations for enhancing the usability and understandability of process mining in healthcare 2019Earth Movers’ Stochastic Conformance Checking 2014Temporal Anomaly Detection in Business Processes 2020An interdisciplinary comparison of sequence modeling methods for next-element prediction 2016Conformance checking and performance improvement in scheduled processes: A queueing-network perspective 2013Improving Documentation by Repairing Event Logs 2022Foundations of Process Discovery

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2014Process Mining in the Large: A Tutorialother · 6 shared references 2013Mediating between modeled and observed behavior: The quest for the “right” process: Keynoteother · 6 shared references 2013Improving Documentation by Repairing Event Logsother · 5 shared references 2013Improving Business Process Models Using Observed Behaviorother · 5 shared references 2013Memory-efficient alignment of observed and modeled behaviorarticle · 5 shared references 2012On the Role of Fitness, Precision, Generalization and Simplicity in Process Discoveryother · 4 shared references

Details

Year2014

Typeother

Published2014-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations85

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-06257-0_2

openalex_workW2153103889

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2021Stochastic Process Discovery by Weight Estimation