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Process Mining Meets Abstract Interpretation

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References

2004Workflow mining: discovering process models from event logs2,206 cited
2007Conformance checking of processes based on monitoring real behavior1,119 cited
2008Process mining: a two-step approach to balance between underfitting and overfitting440 cited
2008Process Discovery Using Integer Linear Programming336 cited
2007Mining process models with non-free-choice constructs313 cited
2009Process Discovery using Integer Linear Programming221 cited
2007Finding Structure in Unstructured Processes: The Case for Process Mining117 cited

Cited by

2020Time-aware Concept Drift Detection Using the Earth Mover’s Distance41 cited
2018How Much Event Data Is Enough? A Statistical Framework for Process Discovery39 cited
2013A general divide and conquer approach for process mining34 cited
2019Estimating Process Conformance by Trace Sampling and Result Approximation34 cited
2015Process Discovery Using Localized Events34 cited
2020Conformance Checking Approximation Using Subset Selection and Edit Distance30 cited
2014Process Discovery and Conformance Checking Using Passages29 cited
2020Sampling and approximation techniques for efficient process conformance checking

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26 cited

2021The impact of biased sampling of event logs on the performance of process discovery25 cited

2015Big software on the run: in vivo software analytics based on process mining (keynote)22 cited

2013Process Discovery Algorithms Using Numerical Abstract Domains20 cited

2011Simplifying Mined Process Models: An Approach Based on Unfoldings19 cited

2019Measuring the Behavioral Quality of Log Sampling19 cited

2020Improving the performance of process discovery algorithms by instance selection17 cited

2018E-Government Services: Comparing Real and Expected User Behavior13 cited