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Repairing Outlier Behaviour in Event Logs

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References

2004Workflow mining: discovering process models from event logs2,206 cited
2016Process Mining2,166 cited
2012Process Mining Manifesto1,209 cited
2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics890 cited
2016Process Mining: Data Science in Action866 cited
2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach648 cited
2011Flexible Heuristics Miner (FHM)494 cited
2011Business process analysis in healthcare environments: A methodology based on process mining494 cited
2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour458 cited
2009ProM : the process mining toolkit283 cited
2014Model repair — aligning process models to reality164 cited
2016Filtering Out Infrequent Behavior from Business Process Event Logs164 cited
2011A robust F-measure for evaluating discovered process models119 cited
2017Filtering out infrequent behavior from business process event logs92 cited
2017Discovering workflow nets using integer linear programming75 cited
2018

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Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities

72 cited

Cited by

2019Mining Uncertain Event Data in Process Mining37 cited
2018Applying Sequence Mining for Outlier Detection in Process Mining36 cited
2019Detection and removal of infrequent behavior from event streams of business processes30 cited
2019The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithms25 cited
2021The impact of biased sampling of event logs on the performance of process discovery25 cited
2020Supporting Confidentiality in Process Mining Using Abstraction and Encryption23 cited
2022Demystifying Noise and Outliers in Event Logs: Review and Future Directions19 cited
2023An Approximate Inductive Miner16 cited
2021An end-to-end approach and tool for BPMN process discovery16 cited
2025Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage15 cited
2020A Generic Framework for Attribute-Driven Hierarchical Trace Clustering15 cited