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Learning business process simulation models: A Hybrid process mining and deep learning approach
16 references·3 citing·34 second hop
Learning business process simulation models: A Hybrid process mining and deep learning approach (2023)Learning business process simulation mode…Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Deep Learning for Predictive …Stochastic process mining: Earth movers’ stochastic conformance (2021)Stochastic process mining: Ea…Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)Predictive Business Process M…Automated discovery of business process simulation models from event logs (2020)Automated discovery of busine…Learning Accurate LSTM Models of Business Processes (2019)Learning Accurate LSTM Models…Split miner: automated discovery of accurate and simple business process models from event logs (2018)Split miner: automated discov…Fundamentals of Business Process Management (2018)Fundamentals of Business Proc…Business Process Modeling, Simulation and Design (2018)Business Process Modeling, Si…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Forecasting at Scale (2017)Forecasting at ScaleThe Use of Process Mining in Business Process Simulation Model Construction (2015)The Use of Process Mining in …Business Process Simulation Survival Guide (2014)Business Process Simulation S…Handbook of Business Process Management – Introduction, Methods and Information Systems (2011)Handbook of Business Process …Towards comprehensive support for organizational mining (2008)Towards comprehensive support…Discovering simulation models (2008)Discovering simulation modelsSIMOD: Automated discovery of business process simulation models (2025)SIMOD: Automated discovery of…Business Process Management and Artificial Intelligence (2025)Business Process Management a…From process mining to augmented process execution (2023)From process mining to augmen…Simulation Modeling and Analysis. (1983)Process innovation: reengineering work through information technology (1993)Reengineering the Corporation (1993)Workflow simulation for operational decision support (2009)Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization (2012)Role-based access control models (1996)Proposed NIST standard for role-based access control (2001)Workflow mining: discovering process models from event logs (2004)Process mining techniques and applications – A systematic mapping study (2019)Process mining for healthcare: Characteristics and challenges (2022)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 (2016)Process Mining: Data Science in Action (2016)Multi-Dimensional Event Data in Graph Databases (2021)Process Science in Action: A Literature Review on Process Mining in Business Management (2021)Process Mining: A 360 Degree Overview (2022)Fundamentals of Business Process Management (2013)Recommendations for enhancing the usability and understandability of process mining in healthcare (2020)Discovering business process simulation models in the presence of multitasking and availability constraints (2021)Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning (2022)The Six Core Elements of Business Process Management (2010)Outcome-Oriented Predictive Process Monitoring (2019)Strategy archetypes for digital transformation: Defining meta objectives using business process management (2020)Theory of Workarounds (2014)Building a complementary agenda for business process management and digital innovation (2020)PM4Py: A process mining library for Python (2023)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Fake news on Twitter during the 2016 U.S. presidential election (2019)The good, the bad and the ugly on COVID-19 tourism recovery (2020)Forecasting: theory and practice (2022)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Predictive Process Monitoring (2022)
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References

  • 2017Forecasting at Scale2,900 cited
  • 2018Fundamentals of Business Process Management1,831 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2008Towards comprehensive support for organizational mining347 cited
  • 2008Discovering simulation models295 cited
  • 2019Learning Accurate LSTM Models of Business Processes241 cited
  • 2018Split miner: automated discovery of accurate and simple business process models from event logs230 cited
  • 2011Handbook of Business Process Management – Introduction, Methods and Information Systems224 cited
  • 2020Automated discovery of business process simulation models from event logs153 cited
  • 2018Business Process Modeling, Simulation and Design127 cited
  • 2014Business Process Simulation Survival Guide117 cited
  • 2020Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction114 cited
  • 2023Deep Learning for Predictive Business Process Monitoring: Review and Benchmark104 cited
  • 2015The Use of Process Mining in Business Process Simulation Model Construction96 cited

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  • 2021Stochastic process mining: Earth movers’ stochastic conformance93 cited
  • Cited by

    • 2023From process mining to augmented process execution30 cited
    • 2025Business Process Management and Artificial Intelligence18 cited
    • 2025SIMOD: Automated discovery of business process simulation models18 cited