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Prototype Selection Using Clustering and Conformance Metrics for Process Discovery · Study

WorkPrototype Selection Using Clustering and Conformance Metrics for Process Discovery

Mohammadreza Fani Sani2020

Work2020

Prototype Selection Using Clustering and Conformance Metrics for Process Discovery

Mohammadreza Fani Sani · Mathilde Boltenhagen · Wil M. P. van der Aalst

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

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Business Process Modeling and Analysis Data Mining Algorithms and Applications Robotic Process Automation Applications

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References

2016Process Mining 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour 2012On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery 2018Split miner: automated discovery of accurate and simple business process models from event logs 2013Wanna improve process mining results?2010A Fresh Look at Precision in Process Conformance 2013Active Trace Clustering for Improved Process Discovery 2016Filtering Out Infrequent Behavior from Business Process Event Logs

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2020Improving the performance of process discovery algorithms by instance selectionarticle · 14 shared references 2021The impact of biased sampling of event logs on the performance of process discoveryarticle · 13 shared references 2022PROMISE: Coupling predictive process mining to process discoveryarticle · 11 shared references 2019The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithmsother · 10 shared references 2018Applying Sequence Mining for Outlier Detection in Process Miningother · 8 shared references 2018Discovering more precise process models from event logs by filtering out chaotic activitiesarticle · 7 shared references

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Year2020

Typeother

Published2020-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations14

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-030-66498-5_21

openalex_workW3124235986

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