SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Exploring the Suitability of Rule-Based Classification to Provide Interpretability in Outcome-Based Process Predictive Monitoring
16 references·0 citing·29 second hop
Exploring the Suitability of Rule-Based Classification to Provide Interpretability in Outcome-Based Process Predictive Monitoring (2022)Exploring the Suitability of Rule-Based C…Explainable Predictive Process Monitoring (2020)Explainable Predictive Proces…Explainable predictive business process monitoring using gated graph neural networks (2020)Explainable predictive busine…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users (2019)Mining association rules for …Predictive Monitoring of Business Processes: A Survey (2017)Predictive Monitoring of Busi…Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)Intra and Inter-case Features…Extracting useful knowledge from event logs: A frequent itemset mining approach (2017)Extracting useful knowledge f…A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Deep Learning Approach for …Process Mining (2016)Process MiningClustering-Based Predictive Process Monitoring (2016)Clustering-Based Predictive P…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…Comparing and Combining Predictive Business Process Monitoring Techniques (2014)Comparing and Combining Predi…Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays (2013)Prediction of Remaining Servi…Efficient Discovery of Understandable Declarative Process Models from Event Logs (2012)Efficient Discovery of Unders…Business Process Management : Concepts, Languages, Architectures (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)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)Time prediction based on process mining (2010)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Business Process Intelligence (2003)An overview of business intelligence technology (2011)Predictive Business Process Monitoring with Structured and Unstructured Data (2016)A Novel Business Process Prediction Model Using a Deep Learning Method (2018)Workflow mining: discovering process models from event logs (2004)Monitoring business constraints with the event calculus (2013)Declarative process mining in healthcare (2015)An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring (2017)Procedures for Performing Systematic Reviews (2004)Fundamentals of Business Process Management (2018)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)Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction (2020)A systematic literature review on state-of-the-art deep learning methods for process prediction (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)Time and activity sequence prediction of business process instances (2018)
this work references cited by second hop

References

  • 2016Process Mining2,166 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
  • 2015Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes191 cited
  • 2016Clustering-Based Predictive Process Monitoring186 cited
  • 2012Efficient Discovery of Understandable Declarative Process Models from Event Logs162 cited
  • 2013Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays129 cited
  • 2014Comparing and Combining Predictive Business Process Monitoring Techniques129 cited
  • 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime105 cited
  • 2017Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions105 cited
  • 2020Explainable predictive business process monitoring using gated graph neural networks84 cited
  • 2020Explainable Predictive Process Monitoring81 cited
  • 2017Extracting useful knowledge from event logs: A frequent itemset mining approach

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

55 cited
  • 2019Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users48 cited
  • Cited by

    No citing works inside the corpus for this window.