The impact of biased sampling of event logs on the performance of process discovery

DOI10.1007/s00607-021-00910-4zbMath1473.68141OpenAlexW3130644825MaRDI QIDQ2030172

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

Publication date: 7 June 2021

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-021-00910-4

zbMATH Keywords

process miningbiased samplingperformance enhancementprocess discoveryevent log preprocessing

Mathematics Subject Classification ID

Statistical sampling theory and related topics (62D99) Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Uses Software

• ProM
• HybridILPMiner
• RapidProM
• XESame

Cites Work

• Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2010, Barcelona, Spain, September 20--24, 2010. Proceedings, Part I
• Discovering workflow nets using integer linear programming
• Discovering Block-Structured Process Models from Event Logs - A Constructive Approach

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