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Predicting Deadline Transgressions Using Event Logs
6 references·16 citing·47 second hop
Predicting Deadline Transgressions Using Event Logs (2013)Predicting Deadline Transgressions Using …International Organization for Standardization (2011)International Organization fo…Conformance Checking Using Cost-Based Fitness Analysis (2011)Conformance Checking Using Co…A business process mining application for internal transaction fraud mitigation (2011)A business process mining app…Time prediction based on process mining (2010)Time prediction based on proc…Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)Context Aware Trace Clusterin…Cycle Time Prediction: When Will This Case Finally Be Finished? (2008)Cycle Time Prediction: When W…Explainability in Predictive Process Monitoring: When Understanding Helps Improving (2020)Explainability in Predictive …EcoKnow (2020)EcoKnowAn interdisciplinary comparison of sequence modeling methods for next-element prediction (2020)An interdisciplinary comparis…Predicting process performance: A white‐box approach based on process models (2019)Predicting process performanc…Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events (2018)Predictive monitoring of temp…Deep Learning Process Prediction with Discrete and Continuous Data Features (2018)Deep Learning Process Predict…White-box prediction of process performance indicators via flow analysis (2017)White-box prediction of proce…Event-based failure prediction in distributed business processes (2017)Event-based failure predictio…Discovering Causal Factors Explaining Business Process Performance Variation (2017)Discovering Causal Factors Ex…PRISM – A Predictive Risk Monitoring Approach for Business Processes (2016)PRISM – A Predictive Risk Mon…Predictive Business Process Monitoring Framework with Hyperparameter Optimization (2016)Predictive Business Process M…Evaluating and predicting overall process risk using event logs (2016)Evaluating and predicting ove…Complex Symbolic Sequence Clustering and Multiple Classifiers for Predictive Process Monitoring (2016)Complex Symbolic Sequence Clu…Enabling Process Innovation via Deviance Mining and Predictive Monitoring (2014)Enabling Process Innovation v…An Extensible Framework for Analysing Resource Behaviour Using Event Logs (2014)An Extensible Framework for A…Profiling Event Logs to Configure Risk Indicators for Process Delays (2013)Profiling Event Logs to Confi…Workflow mining: discovering process models from event logs (2004)Business process mining: An industrial application (2006)Trace Clustering in Process Mining (2009)Active Trace Clustering for Improved Process Discovery (2013)Wanna improve process mining results? (2013)Building a complementary agenda for business process management and digital innovation (2020)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012)Scalable process discovery and conformance checking (2016)Split miner: automated discovery of accurate and simple business process models from event logs (2018)Workflow mining: A survey of issues and approaches (2003)Process Mining (2012)Predictive Monitoring of Business Processes: A Survey (2017)The ProM Framework: A New Era in Process Mining Tool Support (2005)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Comprehensive rule-based compliance checking and risk management with process mining (2012)Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization (2012)Process Science in Action: A Literature Review on Process Mining in Business Management (2021)Genetic Process Mining (2005)Genetic process mining: an experimental evaluation (2007)Beyond Process Mining: From the Past to Present and Future (2010)Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays (2013)Using Convolutional Neural Networks for Predictive Process Analytics (2019)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)A Framework for Explainable Concept Drift Detection in Process Mining (2021)Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction (2021)Explainable concept drift in process mining (2023)Replaying history on process models for conformance checking and performance analysis (2012)Process Mining (2016)Predictive Process Mining Meets Computer Vision (2020)Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining (2020)Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring (2023)Predictive Monitoring of Business Processes (2014)Outcome-Oriented Predictive Process Monitoring (2019)An explainable decision support system for predictive process analytics (2023)Trace encoding in process mining: A survey and benchmarking (2023)Machine learning in business process management: A systematic literature review (2024)An examination of corporate reporting, environmental management practices and firm performance (2006)How Do Employees Perceive Corporate Responsibility? Development and Validation of a Multidimensional Corporate Stakeholder Responsibility Scale (2015)Green human resource management research in emergence: A review and future directions (2017)Predictive Business Process Monitoring Considering Reliability Estimates (2017)Outcome-Oriented Predictive Process Monitoring with Attention-Based Bidirectional LSTM Neural Networks (2019)Encoding resource experience for predictive process monitoring (2021)
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References

  • 2011International Organization for Standardization12,534 cited
  • 2010Time prediction based on process mining507 cited
  • 2011Conformance Checking Using Cost-Based Fitness Analysis393 cited
  • 2009Context Aware Trace Clustering: Towards Improving Process Mining Results252 cited
  • 2011A business process mining application for internal transaction fraud mitigation175 cited
  • 2008Cycle Time Prediction: When Will This Case Finally Be Finished?132 cited

Cited by

  • 2020Explainability in Predictive Process Monitoring: When Understanding Helps Improving60 cited
  • 2020An interdisciplinary comparison of sequence modeling methods for next-element prediction58 cited
  • 2017Discovering Causal Factors Explaining Business Process Performance Variation53 cited
  • 2016Complex Symbolic Sequence Clustering and Multiple Classifiers for Predictive Process Monitoring49 cited
  • 2016Predictive Business Process Monitoring Framework with Hyperparameter Optimization48 cited
  • 2017Event-based failure prediction in distributed business processes45 cited
  • 2019Predicting process performance: A white‐box approach based on process models39 cited
  • 2014An Extensible Framework for Analysing Resource Behaviour Using Event Logs38 cited

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

  • 2016Evaluating and predicting overall process risk using event logs33 cited
  • 2013Profiling Event Logs to Configure Risk Indicators for Process Delays33 cited
  • 2014Enabling Process Innovation via Deviance Mining and Predictive Monitoring32 cited
  • 2018Deep Learning Process Prediction with Discrete and Continuous Data Features32 cited
  • 2016PRISM – A Predictive Risk Monitoring Approach for Business Processes29 cited
  • 2017White-box prediction of process performance indicators via flow analysis27 cited
  • 2018Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events25 cited
  • 2020EcoKnow20 cited