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Improved Artificial Negative Event Generation to Enhance Process Event Logs · Study

WorkImproved Artificial Negative Event Generation to Enhance Process Event Logs

Seppe vanden Broucke2012

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Workbronze2012

Improved Artificial Negative Event Generation to Enhance Process Event Logs

Seppe vanden Broucke · Jochen De Weerdt · Bart Baesens · Jan Vanthienen

19 citations·0/0 files stored·Notes on numerical fluid mechanics and multidisciplinary design

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

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References

2004Workflow mining: discovering process models from event logs 1998Discovering models of software processes from event-based data 1998Mining process models from workflow logs 2006Business process mining: An industrial application 2007Genetic process mining: an experimental evaluation 2006Process mining with the HeuristicsMiner algorithm 2007Mining process models with non-free-choice constructs 2009ProM : the process mining toolkit

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2015Process Discovery under Precedence Constraintsarticle · 10 shared references 2015Efficient Process Model Discovery Using Maximal Pattern Miningother · 10 shared references 2012Knowledge-intensive Processes: An Overview of Contemporary Approaches.other · 9 shared references 2013Discovering Petri Nets from Event Logsother · 9 shared references 2014Determining process model precision and generalization with weighted artificial negative eventsarticle · 8 shared references 2016Resolving inconsistencies and redundancies in declarative process modelsarticle · 8 shared references

Details

Year2012

Typeother

Published2012-01-01

VenueNotes on numerical fluid mechanics and multidisciplinary design

ISSN-L1612-2909

Languageen

Citations19

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-642-31095-9_17

openalex_workW65541227

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