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Process Duration Modelling and Concept Drift Detection for Business Process Mining
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Process Duration Modelling and Concept Drift Detection for Business Process Mining (2021)Process Duration Modelling and Concept Dr…CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining (2020)CONDA-PM—A Systematic Review …Anomaly detection in business processes using process mining and fuzzy association rule learning (2020)Anomaly detection in business…Multi-perspective Comparison of Business Process Variants Based on Event Logs (2018)Multi-perspective Comparison …The state-of-the-art of business process mining challenges (2017)The state-of-the-art of busin…Detecting sudden and gradual drifts in business processes from execution traces (2017)Detecting sudden and gradual …Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces (2017)Detecting Sudden and Gradual …Detecting Concept Drift in Processes using Graph Metrics on Process Graphs (2017)Detecting Concept Drift in Pr…Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs (2017)Data-Driven Process Discovery…Detecting change in processes using comparative trace clustering (2015)Detecting change in processes…Dealing With Concept Drifts in Process Mining (2013)Dealing With Concept Drifts i…Process Mining (2012)Process MiningProcess Mining Manifesto (2012)Process Mining ManifestoTrace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models (2010)Trace Clustering Based on Con…Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support (2023)Integrated detection and loca…Rediscovering workflow models from event-based data using little thumb (2003)Workflow mining: discovering process models from event logs (2004)Business process mining: An industrial application (2006)Process diagnostics using trace alignment: Opportunities, issues, and challenges (2011)The Use of Process Mining in Business Process Simulation Model Construction (2015)A Survey on Concept Drift in Process Mining (2021)CONTINUOUS INSPECTION SCHEMES (1954)YAWL: yet another workflow language (2004)Process Mining (2011)Adoption, use and management of process mining in practice (2020)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Business Process Management: A Comprehensive Survey (2013)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Process modeling (1992)Correctness criteria for dynamic changes in workflow systems––a survey (2004)Process mining with the HeuristicsMiner algorithm (2006)A Framework for Explainable Concept Drift Detection in Process Mining (2021)Explainable concept drift in process mining (2023)A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches) (2024)A Coefficient of Agreement for Nominal Scales (1960)Process Mining (2016)Towards a Holistic Discovery of Decisions in Process-Aware Information Systems (2017)An empirical comparison of classification techniques for next event prediction using business process event logs (2019)Recommendations for enhancing the usability and understandability of process mining in healthcare (2020)Fundamentals of Business Process Management (2013)Scientific method: Statistical errors (2014)Evaluation Goals for Online Process Mining: A Concept Drift Perspective (2020)Visual Drift Detection for Event Sequence Data of Business Processes (2021)A common language effect size statistic. (1992)IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams (2016)Process variant comparison: Using event logs to detect differences in behavior and business rules (2017)Mining Process Mining Practices: An Exploratory Characterization of Information Needs in Process Analytics (2019)Robust Drift Characterization from Event Streams of Business Processes (2020)Partial-order-based process mining: a survey and outlook (2022)A process-mining framework for the detection of healthcare fraud and abuse (2005)A business process mining application for internal transaction fraud mitigation (2011)Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions (2013)A Systematic Review of Anomaly Detection for Business Process Event Logs (2023)GRASPED: A GRU-AE Network Based Multi-Perspective Business Process Anomaly Detection Model (2023)Process Mining for Digital Twin Development of Industrial Cyber-Physical Systems (2024)Big Data: A Survey (2014)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Process mining techniques and applications – A systematic mapping study (2019)Comprehensive process drift analysis with the visual drift detection tool (2019)Using Process Mining to Support Theorizing About Change in Organizations (2020)
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References

  • 2012Process Mining Manifesto1,209 cited
  • 2012Process Mining487 cited
  • 2013Dealing With Concept Drifts in Process Mining192 cited
  • 2010Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models148 cited
  • 2017Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs101 cited
  • 2017Detecting sudden and gradual drifts in business processes from execution traces94 cited
  • 2020Anomaly detection in business processes using process mining and fuzzy association rule learning90 cited
  • 2017Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces86 cited
  • 2017Detecting Concept Drift in Processes using Graph Metrics on Process Graphs48 cited
  • 2018Multi-perspective Comparison of Business Process Variants Based on Event Logs44 cited
  • 2015Detecting change in processes using comparative trace clustering33 cited
  • 2017The state-of-the-art of business process mining challenges27 cited
  • 2020CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining21 cited

Cited by

  • 2023Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support14 cited

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