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A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances
1 references·2 citing·12 second hop
A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances (2016)A Robust and Versatile Multi-View Learnin…Monitoring business constraints with the event calculus (2013)Monitoring business constrain…JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction (2023)JARVIS: Joining Adversarial T…AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion (2021)AI-Empowered Process Mining f…DECLARE: Full Support for Loosely-Structured Processes (2007)Monitoring Business Process Compliance Using Compliance Rule Graphs (2011)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Runtime Verification of LTL-Based Declarative Process Models (2012)Process discovery from event data: Relating models and logs through abstractions (2018)Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Procedures for Performing Systematic Reviews (2004)Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories (2018)Predicting process behaviour using deep learning (2017)Predictive Business Process Monitoring with LSTM Neural Networks (2017)Learning Accurate LSTM Models of Business Processes (2019)
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References

  • 2013Monitoring business constraints with the event calculus121 cited

Cited by

  • 2023JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction22 cited
  • 2021AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion17 cited

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