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Detecting Concept Drift in Processes using Graph Metrics on Process Graphs
13 references·10 citing·41 second hop
Detecting Concept Drift in Processes using Graph Metrics on Process Graphs (2017)Detecting Concept Drift in Processes usin…Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders (2016)Unsupervised Anomaly Detectio…Detecting Drift from Event Streams of Unpredictable Business Processes (2016)Detecting Drift from Event St…Fast and Accurate Business Process Drift Detection (2015)Fast and Accurate Business Pr…Root Cause Analysis with Enriched Process Logs (2013)Root Cause Analysis with Enri…Dealing With Concept Drifts in Process Mining (2013)Dealing With Concept Drifts i…Online Techniques for Dealing with Concept Drift in Process Mining (2012)Online Techniques for Dealing…XES, XESame, and ProM 6 (2011)XES, XESame, and ProM 6Handling Concept Drift in Process Mining (2011)Handling Concept Drift in Pro…Process mining with the HeuristicsMiner algorithm (2006)Process mining with the Heuri…Change Mining in Adaptive Process Management Systems (2006)Change Mining in Adaptive Pro…Correctness criteria for dynamic changes in workflow systems––a survey (2004)Correctness criteria for dyna…Supporting Adaptive Workflows in Advanced Application Environments (1998)Supporting Adaptive Workflows…Process modeling (1992)Process modelingMachine learning-based detection of concept drift in business processes (2025)Machine learning-based detect…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…Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support (2023)Integrated detection and loca…Explainable concept drift in process mining (2023)Explainable concept drift in …Process Duration Modelling and Concept Drift Detection for Business Process Mining (2021)Process Duration Modelling an…A Robust and Accurate Approach to Detect Process Drifts from Event Streams (2021)A Robust and Accurate Approac…A Framework for Explainable Concept Drift Detection in Process Mining (2021)A Framework for Explainable C…CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining (2020)CONDA-PM—A Systematic Review …Overlapping Analytic Stages in Online Process Mining (2019)Overlapping Analytic Stages i…Using Business Process Compliance Approaches for Compliance Management with Regard to Digitization: Evidence from a Systematic Literature Review (2018)Using Business Process Compli…Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)The ProM Framework: A New Era in Process Mining Tool Support (2005)Process Mining: Overview and Outlook of Petri Net Discovery Algorithms (2009)Active Trace Clustering for Improved Process Discovery (2013)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process Mining Manifesto (2012)Change Point Detection and Dealing with Gradual and Multi-order Dynamics in Process Mining (2015)Handling Concept Drift in Predictive Process Monitoring (2017)Supporting Risk-Informed Decisions during Business Process Execution (2013)Conformance Checking Based on Partially Ordered Event Data (2015)Engineering Psychology and Human Performance (2015)Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs (2020)YAWL: yet another workflow language (2004)Process Flexibility: A Survey of Contemporary Approaches (2008)Wanna improve process mining results? (2013)Single-Entry Single-Exit decomposed conformance checking (2014)Conformance checking of processes based on monitoring real behavior (2007)Data-aware process mining (2013)Compliance monitoring in business processes: Functionalities, application, and tool-support (2015)Conformance checking based on multi-perspective declarative process models (2016)CONTINUOUS INSPECTION SCHEMES (1954)Detecting sudden and gradual drifts in business processes from execution traces (2017)Adoption, use and management of process mining in practice (2020)A Survey on Concept Drift in Process Mining (2021)Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)Activity patterns in process-aware information systems: basic concepts and empirical evidence (2009)What BPM Technology Can Do for Healthcare Process Support (2011)Process Science in Action: A Literature Review on Process Mining in Business Management (2021)Dynamic change within workflow systems (1995)Inheritance of workflows: an approach to tackling problems related to change (2002)Enabling Flexibility in Process-Aware Information Systems (2012)Business Process Variability Modeling (2017)Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces (2017)Fundamentals of Business Process Management (2018)Theorizing Process Dynamics with Directed Graphs: A Diachronic Analysis of Digital Trace Data (2021)An exploration towards a production theory and its application to construction (2000)THE LAST PLANNER SYSTEM OF PRODUCTION CONTROL (2000)Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda (2002)
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References

  • 1992Process modeling1,632 cited
  • 2006Process mining with the HeuristicsMiner algorithm484 cited
  • 2004Correctness criteria for dynamic changes in workflow systems––a survey421 cited
  • 2011XES, XESame, and ProM 6244 cited
  • 2011Handling Concept Drift in Process Mining199 cited
  • 2013Dealing With Concept Drifts in Process Mining192 cited
  • 2006Change Mining in Adaptive Process Management Systems99 cited
  • 2015Fast and Accurate Business Process Drift Detection88 cited
  • 2012Online Techniques for Dealing with Concept Drift in Process Mining78 cited
  • 2013Root Cause Analysis with Enriched Process Logs78 cited
  • 2016Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders61 cited
  • 2016Detecting Drift from Event Streams of Unpredictable Business Processes57 cited
  • 1998Supporting Adaptive Workflows in Advanced Application Environments50 cited

Cited by

  • 2023Explainable concept drift in process mining41 cited
  • 2021A Framework for Explainable Concept Drift Detection in Process Mining41 cited
  • 2024

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A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches)
40 cited
  • 2019Overlapping Analytic Stages in Online Process Mining33 cited
  • 2020CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining21 cited
  • 2025Machine learning-based detection of concept drift in business processes17 cited
  • 2021Process Duration Modelling and Concept Drift Detection for Business Process Mining16 cited
  • 2018Using Business Process Compliance Approaches for Compliance Management with Regard to Digitization: Evidence from a Systematic Literature Review15 cited
  • 2023Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support14 cited
  • 2021A Robust and Accurate Approach to Detect Process Drifts from Event Streams12 cited