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Process Mining as First-Order Classification Learning on Logs with Negative Events · Study

WorkProcess Mining as First-Order Classification Learning on Logs with Negative Events

Stijn Goedertier2008

Work2008

Process Mining as First-Order Classification Learning on Logs with Negative Events

Stijn Goedertier · Bart Baesens · Raf Haesen · Jan Vanthienen

28 citations·0/0 files stored·Lecture notes in computer science

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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 2003Workflow mining: A survey of issues and approaches 2003Benchmarking state-of-the-art classification algorithms for credit scoring 2006Business process mining: An industrial application 2008Business Process Management Workshops 2007Genetic process mining: an experimental evaluation 2005Discovering Social Networks from Event Logs 2006Decision Mining in ProM

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2021DisCoveR: accurate and efficient discovery of declarative process models

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2009Process-Aware Information Systems: Lessons to Be Learned from Process Miningother · 7 shared references 2008Declarative Techniques for Modeling and Mining Business Processesthesis · 7 shared references 2010Mining process model variants : challenges, techniques, examplesthesis · 6 shared references 2008Process Mining towards Semanticsother · 6 shared references 2008Challenges in Business Process Analysisother · 6 shared references 2015Using logical decision trees to discover the cause of process delays from event logsarticle · 6 shared references

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Year2008

Typeother

Published2008-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations28

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-540-78238-4_6

openalex_workW1567641778

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