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Discovering Context-Aware Models for Predicting Business Process Performances · Study

WorkDiscovering Context-Aware Models for Predicting Business Process Performances

Francesco Folino2012

Work2012

Discovering Context-Aware Models for Predicting Business Process Performances

Francesco Folino · Massimo Guarascio · Luigi Pontieri

112 citations·0/0 files stored·Lecture notes in computer science

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Business Process Modeling and Analysis Big Data and Business Intelligence Data Mining Algorithms and Applications

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References

2003Workflow mining: A survey of issues and approaches 2008Business Process Management Workshops 2010Time prediction based on process mining 2009Trace Clustering in Process Mining 2006Discovering expressive process models by clustering log traces 2008Supporting Flexible Processes through Recommendations Based on History 2007ProM 4.0: Comprehensive Support for Real Process Analysis 2008Cycle Time Prediction: When Will This Case Finally Be Finished?

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2018Genetic algorithms for hyperparameter optimization in predictive business process monitoring 2016Predictive Business Process Monitoring with Structured and Unstructured Data 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime 2017Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions 2018A Novel Business Process Prediction Model Using a Deep Learning Method 2014Data-aware remaining time prediction of business process instances

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2009Using Process Mining to Generate Accurate and Interactive Business Process Mapsother · 5 shared references 2013A markov prediction model for data-driven semi-structured business processesarticle · 4 shared references 2011Mining usage scenarios in business processes: Outlier-aware discovery and run-time predictionarticle · 4 shared references 2014Process Mining in the Large: A Tutorialother · 4 shared references 2011Industrial application of semantic process miningarticle · 4 shared references 2015Leveraging path information to generate predictions for parallel business processesarticle · 4 shared references

Details

Year2012

Typeother

Published2012-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations112

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-642-33606-5_18

openalex_workW157614939

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2014Queue Mining – Predicting Delays in Service Processes

2017From event streams to process models and back: Challenges and opportunities