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A Robust and Accurate Approach to Detect Process Drifts from Event Streams
16 references·0 citing·33 second hop
A Robust and Accurate Approach to Detect Process Drifts from Event Streams (2021)A Robust and Accurate Approach to Detect …Time-aware Concept Drift Detection Using the Earth Mover’s Distance (2020)Time-aware Concept Drift Dete…Robust Drift Characterization from Event Streams of Business Processes (2020)Robust Drift Characterization…Comprehensive process drift analysis with the visual drift detection tool (2019)Comprehensive process drift a…Detecting sudden and gradual drifts in business processes from execution traces (2017)Detecting sudden and gradual …Detecting Process Concept Drifts from Event Logs (2017)Detecting Process Concept Dri…Detecting Concept Drift in Processes using Graph Metrics on Process Graphs (2017)Detecting Concept Drift in Pr…Process Mining: Data Science in Action (2016)Process Mining: Data Science …Detecting Drift from Event Streams of Unpredictable Business Processes (2016)Detecting Drift from Event St…Data Science in Action (2016)Data Science in ActionFast and Accurate Business Process Drift Detection (2015)Fast and Accurate Business Pr…Change Point Detection and Dealing with Gradual and Multi-order Dynamics in Process Mining (2015)Change Point Detection and De…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…Discovering Workflow Changes with Time-Based Trace Clustering (2012)Discovering Workflow Changes …Handling Concept Drift in Process Mining (2011)Handling Concept Drift in Pro…Process mining : extending the alpha-algorithm to mine short loops (2004)Process mining : extending th…Process Flexibility: A Survey of Contemporary Approaches (2008)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Handling Concept Drift in Predictive Process Monitoring (2017)Evaluation Goals for Online Process Mining: A Concept Drift Perspective (2020)Process Mining Manifesto (2012)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Discovering Process Models from Unlabelled Event Logs (2009)A robust F-measure for evaluating discovered process models (2011)Comprehensive rule-based compliance checking and risk management with process mining (2012)YAWL: yet another workflow language (2004)Wanna improve process mining results? (2013)Single-Entry Single-Exit decomposed conformance checking (2014)CONTINUOUS INSPECTION SCHEMES (1954)Adoption, use and management of process mining in practice (2020)A Survey on Concept Drift in Process Mining (2021)Change patterns and change support features – Enhancing flexibility in process-aware information systems (2008)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Scientific method: Statistical errors (2014)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)Fundamentals of Business Process Management (2013)Recommendations for enhancing the usability and understandability of process mining in healthcare (2020)Using Process Mining to Support Theorizing About Change in Organizations (2020)Process mining in oncology: A literature review (2016)Process mining technology selection with spherical fuzzy AHP and sensitivity analysis (2021)Large Process Models: A Vision for Business Process Management in the Age of Generative AI (2024)Process mining techniques and applications – A systematic mapping study (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)Process mining for healthcare: Characteristics and challenges (2022)
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References

  • 2016Process Mining: Data Science in Action866 cited
  • 2016Data Science in Action469 cited
  • 2011Handling Concept Drift in Process Mining199 cited
  • 2013Dealing With Concept Drifts in Process Mining192 cited
  • 2004Process mining : extending the alpha-algorithm to mine short loops146 cited
  • 2017Detecting sudden and gradual drifts in business processes from execution traces94 cited
  • 2015Fast and Accurate Business Process Drift Detection88 cited
  • 2012Online Techniques for Dealing with Concept Drift in Process Mining78 cited
  • 2015Change Point Detection and Dealing with Gradual and Multi-order Dynamics in Process Mining62 cited
  • 2016Detecting Drift from Event Streams of Unpredictable Business Processes57 cited
  • 2019Comprehensive process drift analysis with the visual drift detection tool51 cited
  • 2017Detecting Concept Drift in Processes using Graph Metrics on Process Graphs48 cited
  • 2020Robust Drift Characterization from Event Streams of Business Processes44 cited
  • 2017Detecting Process Concept Drifts from Event Logs41 cited
  • 2020Time-aware Concept Drift Detection Using the Earth Mover’s Distance41 cited

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  • 2012Discovering Workflow Changes with Time-Based Trace Clustering36 cited
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