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Business Process Remaining Time Prediction Based on Incremental Event Logs
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Business Process Remaining Time Prediction Based on Incremental Event Logs (2025)Business Process Remaining Time Predictio…Machine learning in business process management: A systematic literature review (2024)Machine learning in business …ProcessTransformer: Predictive Business Process Monitoring with Transformer Network (2021)ProcessTransformer: Predictiv…Incremental Predictive Process Monitoring: The Next Activity Case (2021)Incremental Predictive Proces…A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)A systematic literature revie…Explainable predictive business process monitoring using gated graph neural networks (2020)Explainable predictive busine…Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Survey and Cross-benchmark Co…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Learning Accurate LSTM Models of Business Processes (2019)Learning Accurate LSTM Models…Predictive Monitoring of Business Processes: A Survey (2017)Predictive Monitoring of Busi…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …LSTM networks for data-aware remaining time prediction of business process instances (2017)LSTM networks for data-aware …Handling Concept Drift in Predictive Process Monitoring (2017)Handling Concept Drift in Pre…Towards Comprehensive Support for Privacy Preservation Cross-Organization Business Process Mining (2016)Towards Comprehensive Support…Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays (2013)Prediction of Remaining Servi…Time prediction based on process mining (2010)Time prediction based on proc…Business Process Management : Concepts, Languages, Architectures (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Comparing and Combining Predictive Business Process Monitoring Techniques (2014)Using Convolutional Neural Networks for Predictive Process Analytics (2019)Predictive Process Monitoring (2022)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2012)Predictive Monitoring of Business Processes (2014)Flexible Heuristics Miner (FHM) (2011)Replaying history on process models for conformance checking and performance analysis (2012)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Process mining techniques and applications – A systematic mapping study (2019)Business Process Intelligence (2003)Process Mining (2016)Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Reengineering the corporation: A manifesto for business revolution (1993)Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications (2000)Explainable Predictive Process Monitoring (2020)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Procedures for Performing Systematic Reviews (2004)Another look at measures of forecast accuracy (2006)Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)Business process variant analysis: Survey and classification (2021)Fundamentals of Business Process Management (2018)The biggest business process management problems to solve before we die (2023)Towards comprehensive support for organizational mining (2008)Process Mining Manifesto (2012)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Large Language Models for Business Process Management: Opportunities and Challenges (2023)Large Process Models: A Vision for Business Process Management in the Age of Generative AI (2024)
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References

  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2010Time prediction based on process mining507 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2017Predictive Monitoring of Business Processes: A Survey279 cited
  • 2019Learning Accurate LSTM Models of Business Processes241 cited
  • 2019Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring207 cited
  • 2021A systematic literature review on state-of-the-art deep learning methods for process prediction174 cited
  • 2013Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays129 cited
  • 2017LSTM networks for data-aware remaining time prediction of business process instances118 cited
  • 2016Towards Comprehensive Support for Privacy Preservation Cross-Organization Business Process Mining113 cited
  • 2020Explainable predictive business process monitoring using gated graph neural networks84 cited
  • 2024Machine learning in business process management: A systematic literature review54 cited
  • 2017Handling Concept Drift in Predictive Process Monitoring50 cited
  • 2021

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Incremental Predictive Process Monitoring: The Next Activity Case
38 cited
  • 2021ProcessTransformer: Predictive Business Process Monitoring with Transformer Network38 cited
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