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Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining
15 references·16 citing·42 second hop
Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining (2020)Supporting Automatic System Dynamics Mode…An interdisciplinary comparison of sequence modeling methods for next-element prediction (2020)An interdisciplinary comparis…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Correlation Coefficients: Appropriate Use and Interpretation (2018)Correlation Coefficients: App…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Process Mining (2016)Process MiningA general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)A general process mining fram…Process and deviation exploration with Inductive visual Miner (2014)Process and deviation explora…Business Process Simulation Survival Guide (2014)Business Process Simulation S…Small System dynamics models for big issues : triple jump towards real-world complexity (2013)Small System dynamics models …Process Mining Put into Context (2012)Process Mining Put into Conte…Workflow simulation for operational decision support (2009)Workflow simulation for opera…Discovering simulation models (2008)Discovering simulation modelsCycle Time Prediction: When Will This Case Finally Be Finished? (2008)Cycle Time Prediction: When W…Discovering colored Petri nets from event logs (2007)Discovering colored Petri net…Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)Business Dynamics: Systems Th…Runtime integration of machine learning and simulation for business processes: Time and decision mining predictions (2024)Runtime integration of machin…Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning (2024)Optimizing Resource Allocatio…A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches) (2024)A review of AI and machine le…Toward More Realistic Simulation Models Using Object-Centric Process Mining (2023)Toward More Realistic Simulat…Runtime Integration of Machine Learning and Simulation for Business Processes (2023)Runtime Integration of Machin…Learning business process simulation models: A Hybrid process mining and deep learning approach (2023)Learning business process sim…Automated model generation framework for material flow simulations of production systems (2023)Automated model generation fr…Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning (2022)Learning Accurate Business Pr…Interactive Process Improvement Using Simulation of Enriched Process Trees (2022)Interactive Process Improveme…Discovering System Dynamics Simulation Models Using Process Mining (2022)Discovering System Dynamics S…Digital Twin of an Organization: Are You Serious? (2022)Digital Twin of an Organizati…The impact of biased sampling of event logs on the performance of process discovery (2021)The impact of biased sampling…Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP) (2021)Removing Operational Friction…Extracting Process Features from Event Logs to Learn Coarse-Grained Simulation Models (2021)Extracting Process Features f…A Framework for Explainable Concept Drift Detection in Process Mining (2021)A Framework for Explainable C…Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics (2020)Semi-automated Time-Granulari…Workflow mining: discovering process models from event logs (2004)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining (2013)Queue mining for delay prediction in multi-class service processes (2015)Simulation Modeling and Analysis. 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(2012)Sensitivity analysis methods in the biomedical sciences (2020)Conducting correlation analysis: important limitations and pitfalls (2021)Statistics From A (Agreement) to Z (z Score): A Guide to Interpreting Common Measures of Association, Agreement, Diagnostic Accuracy, Effect Size, Heterogeneity, and Reliability in Medical Research (2021)Procedures for Performing Systematic Reviews (2004)Fundamentals of Business Process Management (2018)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)The biggest business process management problems to solve before we die (2023)Replaying history on process models for conformance checking and performance analysis (2012)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Fundamentals of Business Process Management (2013)Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)Predictive Process Monitoring (2022)Learning Accurate LSTM Models of Business Processes (2019)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)System Dynamics: Systems Thinking and Modeling for a Complex World (2002)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Artificial Intelligence and Management: The Automation–Augmentation Paradox (2021)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)
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References

  • 2018Correlation Coefficients: Appropriate Use and Interpretation10,949 cited
  • 2000Business Dynamics: Systems Thinking and Modeling for a Complex World9,353 cited
  • 2016Process Mining2,166 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2008Discovering simulation models295 cited
  • 2015A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs251 cited
  • 2009Workflow simulation for operational decision support158 cited
  • 2008Cycle Time Prediction: When Will This Case Finally Be Finished?132 cited
  • 2012Process Mining Put into Context124 cited
  • 2013Small System dynamics models for big issues : triple jump towards real-world complexity123 cited
  • 2014Business Process Simulation Survival Guide117 cited
  • 2014Process and deviation exploration with Inductive visual Miner99 cited
  • 2007Discovering colored Petri nets from event logs76 cited
  • 2020An interdisciplinary comparison of sequence modeling methods for next-element prediction58 cited

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Cited by

  • 2022Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning45 cited
  • 2021A Framework for Explainable Concept Drift Detection in Process Mining41 cited
  • 2024A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches)40 cited
  • 2023Learning business process simulation models: A Hybrid process mining and deep learning approach31 cited
  • 2022Discovering System Dynamics Simulation Models Using Process Mining28 cited
  • 2021The impact of biased sampling of event logs on the performance of process discovery25 cited
  • 2023Runtime Integration of Machine Learning and Simulation for Business Processes24 cited
  • 2021Extracting Process Features from Event Logs to Learn Coarse-Grained Simulation Models23 cited
  • 2023Automated model generation framework for material flow simulations of production systems22 cited
  • 2021Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)20 cited
  • 2024Runtime integration of machine learning and simulation for business processes: Time and decision mining predictions18 cited
  • 2022Digital Twin of an Organization: Are You Serious?18 cited
  • 2023Toward More Realistic Simulation Models Using Object-Centric Process Mining15 cited
  • 2020Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics14 cited
  • 2022Interactive Process Improvement Using Simulation of Enriched Process Trees13 cited
  • 2024Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning12 cited