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Belief network discovery from event logs for business process analysis · Study

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ArticleBelief network discovery from event logs for business process analysis

Titas Savickas2018

Article2018

Belief network discovery from event logs for business process analysis

Titas Savickas · Olegas Vasilecas

19 citations·0/0 files stored·Computers in Industry

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Business Process Modeling and Analysis Data Mining Algorithms and Applications Robotic Process Automation Applications

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References

2004Workflow mining: discovering process models from event logs 2005The ProM Framework: A New Era in Process Mining Tool Support 1998Discovering models of software processes from event-based data 2012Replaying history on process models for conformance checking and performance analysis 2017Predictive Business Process Monitoring with LSTM Neural Networks 2006Workflow control-flow patterns : a revised view 2010Time prediction based on process mining 2007A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation

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2023Business Process Complexity Measurement: A Systematic Literature Review

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2014Process Mining in the Large: A Tutorialother · 7 shared references 2020An interdisciplinary comparison of sequence modeling methods for next-element predictionarticle · 7 shared references 2015Process mining using BPMN: relating event logs and process modelsarticle · 6 shared references 2014ProDiGen: Mining complete, precise and minimal structure process models with a genetic algorithmarticle · 6 shared references 2020An extended model for remaining time prediction in manufacturing systems using process miningarticle · 6 shared references 2015Scientific workflows for process mining: building blocks, scenarios, and implementationarticle · 6 shared references

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Year2018

Typearticle

Published2018-05-26

VenueComputers in Industry

ISSN-L0166-3615

Languageen

Citations19

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1016/j.compind.2018.04.020

openalex_workW2803273371

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