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Explainability in Predictive Process Monitoring: When Understanding Helps Improving
13 references·9 citing·33 second hop
Explainability in Predictive Process Monitoring: When Understanding Helps Improving (2020)Explainability in Predictive Process Moni…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…Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Predictive Process Monitoring…A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Deep Learning Approach for …Clustering-Based Predictive Process Monitoring (2016)Clustering-Based Predictive P…Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Complex Symbolic Sequence Enc…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…Supporting Risk-Informed Decisions during Business Process Execution (2013)Supporting Risk-Informed Deci…Root Cause Analysis with Enriched Process Logs (2013)Root Cause Analysis with Enri…Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays (2013)Prediction of Remaining Servi…Predicting Deadline Transgressions Using Event Logs (2013)Predicting Deadline Transgres…Discovering Context-Aware Models for Predicting Business Process Performances (2012)Discovering Context-Aware Mod…Time prediction based on process mining (2010)Time prediction based on proc…Machine learning in business process management: A systematic literature review (2024)Machine learning in business …A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry (2024)A hybrid machine learning wit…Trace encoding in process mining: A survey and benchmarking (2023)Trace encoding in process min…Predictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions (2023)Predictive compliance monitor…JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction (2023)JARVIS: Joining Adversarial T…An explainable decision support system for predictive process analytics (2023)An explainable decision suppo…A data-aware explainable deep learning approach for next activity prediction (2023)A data-aware explainable deep…Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities (2022)Exploring Gated Graph Sequenc…FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation (2021)FOX: a neuro-Fuzzy model for …Workflow mining: A survey of issues and approaches (2003)Business Process Management Workshops (2008)Predictive Business Process Monitoring with Structured and Unstructured Data (2016)Genetic algorithms for hyperparameter optimization in predictive business process monitoring (2018)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)A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)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: A Survey (2017)Business Process Intelligence (2003)BINet: Multi-perspective business process anomaly classification (2019)Product backorder prediction using deep neural network on imbalanced data (2021)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Procedures for Performing Systematic Reviews (2004)Process Mining Manifesto (2012)Process Mining (2016)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Another look at measures of forecast accuracy (2006)Predictive Business Process Monitoring with LSTM Neural Networks (2017)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)Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction (2020)Time and activity sequence prediction of business process instances (2018)
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References

  • 2010Time prediction based on process mining507 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2019Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring207 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
  • 2013Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays129 cited
  • 2012Discovering Context-Aware Models for Predicting Business Process Performances112 cited
  • 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime105 cited
  • 2013Root Cause Analysis with Enriched Process Logs78 cited
  • 2013Supporting Risk-Informed Decisions during Business Process Execution77 cited
  • 2013Predicting Deadline Transgressions Using Event Logs65 cited

Cited by

  • 2024Machine learning in business process management: A systematic literature review54 cited
  • 2023An explainable decision support system for predictive process analytics

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53 cited
  • 2023Trace encoding in process mining: A survey and benchmarking46 cited
  • 2022Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities38 cited
  • 2023Predictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions34 cited
  • 2024A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry26 cited
  • 2021FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation24 cited
  • 2023A data-aware explainable deep learning approach for next activity prediction24 cited
  • 2023JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction22 cited