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Predictive Process Monitoring
15 references·10 citing·36 second hop
Predictive Process Monitoring (2022)Predictive Process MonitoringOutcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Learning Accurate LSTM Models of Business Processes (2019)Learning Accurate LSTM Models…Time and activity sequence prediction of business process instances (2018)Time and activity sequence pr…Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Predictive Process Monitoring…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…Clustering-Based Predictive Process Monitoring (2016)Clustering-Based Predictive P…Compliance monitoring in business processes: Functionalities, application, and tool-support (2015)Compliance monitoring in busi…Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Complex Symbolic Sequence Enc…A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)A general process mining fram…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…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…APROMORE: An advanced process model repository (2010)APROMORE: An advanced process…The ProM Framework: A New Era in Process Mining Tool Support (2005)The ProM Framework: A New Era…Predictive process monitoring: concepts, challenges, and future research directions (2024)Predictive process monitoring…Demystifying data governance for process mining: Insights from a Delphi study (2024)Demystifying data governance …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…TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments (2023)TSUNAMI - an explainable PPM …Runtime Integration of Machine Learning and Simulation for Business Processes (2023)Runtime Integration of Machin…Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking (2023)Modelling Data-Aware Stochast…Does This Make Sense? Machine Learning-Based Detection of Semantic Anomalies in Business Processes (2023)Does This Make Sense? Machine…Using Process Mining in Healthcare (2022)Using Process Mining in Healt…Responsible Process Mining (2022)Responsible Process MiningFoundations of Process Event Data (2022)Foundations of Process Event …A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Discovering models of software processes from event-based data (1998)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Business process mining: An industrial application (2006)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Semantics and analysis of business process models in BPMN (2008)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2012)Process modeling (1992)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Workflow Patterns (2003)Managing large collections of business process models—Current techniques and challenges (2012)Business Process Model Merging (2013)Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (2019)Procedures for Performing Systematic Reviews (2004)Business Process Management : Concepts, Languages, Architectures (2007)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Conformance checking based on multi-perspective declarative process models (2016)Are we done with business process compliance: state of the art and challenges ahead (2018)Business Process Intelligence (2003)Process Mining (2016)A systematic literature review on state-of-the-art deep learning methods for process prediction (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)Predicting process behaviour using deep learning (2017)Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (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)Object-Centric Process Mining: Unraveling the Fabric of Real Processes (2023)
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References

  • 2005The ProM Framework: A New Era in Process Mining Tool Support929 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2010Time prediction based on process mining507 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2017Predictive Monitoring of Business Processes: A Survey279 cited
  • 2015A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs251 cited
  • 2019Learning Accurate LSTM Models of Business Processes241 cited
  • 2010APROMORE: An advanced process model repository218 cited
  • 2015Compliance monitoring in business processes: Functionalities, application, and tool-support193 cited
  • 2015Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes191 cited
  • 2016Clustering-Based Predictive Process Monitoring186 cited
  • 2018Predictive Process Monitoring Methods: Which One Suits Me Best?175 cited
  • 2018Time and activity sequence prediction of business process instances138 cited
  • 2013Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays

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129 cited

Cited by

  • 2024Predictive process monitoring: concepts, challenges, and future research directions58 cited
  • 2024A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches)40 cited
  • 2022Foundations of Process Event Data37 cited
  • 2023Runtime Integration of Machine Learning and Simulation for Business Processes24 cited
  • 2023Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking22 cited
  • 2023TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments19 cited
  • 2022Responsible Process Mining17 cited
  • 2024Demystifying data governance for process mining: Insights from a Delphi study16 cited
  • 2023Does This Make Sense? Machine Learning-Based Detection of Semantic Anomalies in Business Processes15 cited
  • 2022Using Process Mining in Healthcare14 cited