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Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics
16 references·2 citing·34 second hop
Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics (2020)Semi-automated Time-Granularity Detection…Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining (2020)Supporting Automatic System D…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Statistical and Machine Learn…Conformance Checking (2018)Conformance CheckingAutomated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Automated Discovery of Proces…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Process Mining (2016)Process MiningSmall System dynamics models for big issues : triple jump towards real-world complexity (2013)Small System dynamics models …Replaying history on process models for conformance checking and performance analysis (2012)Replaying history on process …Process Mining Put into Context (2012)Process Mining Put into Conte…Time prediction based on process mining (2010)Time prediction based on proc…Beyond Process Mining: From the Past to Present and Future (2010)Beyond Process Mining: From t…System Dynamics: Systems Thinking and Modeling for a Complex World (2002)System Dynamics: Systems Thin…Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)Business Dynamics: Systems Th…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Interactive Process Improvement Using Simulation of Enriched Process Trees (2022)Interactive Process Improveme…SIMPT: Process Improvement Using Interactive Simulation of Time-Aware Process Trees (2021)SIMPT: Process Improvement Us…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)Predictive Monitoring of Business Processes: A Survey (2017)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Predicting process behaviour using deep learning (2017)Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment (1989)The fifth discipline, the art and practice of the learning organization (1991)Mental Models: An Interdisciplinary Synthesis of Theory and Methods (2011)Systems Science Methods in Public Health: Dynamics, Networks, and Agents (2012)A Definition of Systems Thinking: A Systems Approach (2015)Time Series Analysis Forecasting and Control. (1971)Another look at measures of forecast accuracy (2006)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting: theory and practice (2022)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Learning Accurate LSTM Models of Business Processes (2019)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Split miner: automated discovery of accurate and simple business process models from event logs (2018)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Process mining for healthcare: Characteristics and challenges (2022)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)The politics of attention: how government prioritizes problems (2006)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)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)
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  • 2020

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Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining
48 cited

Cited by

  • 2022Interactive Process Improvement Using Simulation of Enriched Process Trees13 cited
  • 2021SIMPT: Process Improvement Using Interactive Simulation of Time-Aware Process Trees11 cited