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Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital · Study

WorkProcess Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital

Sjoerd van der Spoel2013

OA

Workbronze2013

Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital

Sjoerd van der Spoel · Maurice van Keulen · Chintan Amrit

45 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 Time Series Analysis and Forecasting

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References

2004Workflow mining: discovering process models from event logs 2003Workflow mining: A survey of issues and approaches 2005The ProM Framework: A New Era in Process Mining Tool Support 1998Mining process models from workflow logs 2006Business process mining: An industrial application 2003Rediscovering workflow models from event-based data using little thumb 2008Process mining: a two-step approach to balance between underfitting and overfitting 2008Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital

Cited by

2019Predicting process performance: A white‐box approach based on process models 2017White-box prediction of process performance indicators via flow analysis 2018Process Mining in Cardiology: A Literature Review 2023Remaining cycle time prediction with Graph Neural Networks for Predictive Process Monitoring 2015The Effect of Noise on Mined Declarative Constraints 2017Business Process Comparison: A Methodology and Case Study

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2012Towards Improving the Representational Bias of Process Miningother · 8 shared references 2013Discovering Petri Nets from Event Logsother · 8 shared references 2009Process-Aware Information Systems: Lessons to Be Learned from Process Miningother · 7 shared references 2010Process Discovery: Capturing the Invisiblearticle · 7 shared references 2014Process Mining in the Large: A Tutorialother · 7 shared references 2009Using Process Mining to Generate Accurate and Interactive Business Process Mapsother · 7 shared references

Details

Year2013

Typeother

Published2013-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations45

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-642-40919-6_4

openalex_workW2170489714

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2018DB-XES: Enabling Process Discovery in the Large

2022Using Process Mining in Healthcare