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Repairing Outlier Behaviour in Event Logs · Study

WorkRepairing Outlier Behaviour in Event Logs

Mohammadreza Fani Sani2018

Work2018

Repairing Outlier Behaviour in Event Logs

Mohammadreza Fani Sani · Sebastiaan J. van Zelst · Wil M. P. van der Aalst

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

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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 2016Process Mining 2012Process Mining Manifesto 2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics 2016Process Mining: Data Science in Action 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach 2011Business process analysis in healthcare environments: A methodology based on process mining 2011Flexible Heuristics Miner (FHM)

Cited by

2019Mining Uncertain Event Data in Process Mining 2018Applying Sequence Mining for Outlier Detection in Process Mining 2019Detection and removal of infrequent behavior from event streams of business processes 2019The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithms 2021The impact of biased sampling of event logs on the performance of process discovery 2020Supporting Confidentiality in Process Mining Using Abstraction and Encryption

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2018Applying Sequence Mining for Outlier Detection in Process Miningother · 17 shared references 2021The impact of biased sampling of event logs on the performance of process discoveryarticle · 12 shared references 2019The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithmsother · 12 shared references 2020Improving the performance of process discovery algorithms by instance selectionarticle · 12 shared references 2018Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilitiesother · 11 shared references 2018Discovering more precise process models from event logs by filtering out chaotic activitiesarticle · 10 shared references

Details

Year2018

Typeother

Published2018-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations39

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-93931-5_9

openalex_workW2808376309

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2022Demystifying Noise and Outliers in Event Logs: Review and Future Directions

2023An Approximate Inductive Miner