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Process mining on noisy logs — Can log sanitization help to improve performance?
16 references·9 citing·23 second hop
Process mining on noisy logs — Can log sanitization help to improve performance? (2015)Process mining on noisy logs — Can log sa…On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012)On the Role of Fitness, Preci…Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process Mining: Discovery, Co…Process Discovery Using Integer Linear Programming (2008)Process Discovery Using Integ…Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital (2008)Application of Process Mining…Mining process models with non-free-choice constructs (2007)Mining process models with no…Genetic process mining: an experimental evaluation (2007)Genetic process mining: an ex…Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Fuzzy Mining – Adaptive Proce…Conformance checking of processes based on monitoring real behavior (2007)Conformance checking of proce…Process mining with the HeuristicsMiner algorithm (2006)Process mining with the Heuri…The ProM Framework: A New Era in Process Mining Tool Support (2005)The ProM Framework: A New Era…Workflow mining: discovering process models from event logs (2004)Workflow mining: discovering …Rediscovering workflow models from event-based data using little thumb (2003)Rediscovering workflow models…Inheritance of workflows: an approach to tackling problems related to change (2002)Inheritance of workflows: an …Diagnosing Workflow Processes using Woflan (2001)Diagnosing Workflow Processes…Mining process models from workflow logs (1998)Mining process models from wo…Discovering models of software processes from event-based data (1998)Discovering models of softwar…Demystifying Noise and Outliers in Event Logs: Review and Future Directions (2022)Demystifying Noise and Outlie…Complex Process Modeling in Process Mining: A Systematic Review (2022)Complex Process Modeling in P…Root-cause analysis of process-data quality problems (2021)Root-cause analysis of proces…Cause vs. effect in context-sensitive prediction of business process instances (2020)Cause vs. effect in context-s…On the Contextualization of Event-Activity Mappings (2019)On the Contextualization of E…A Case Study Lens on Process Mining in Practice (2019)A Case Study Lens on Process …Repairing Outlier Behaviour in Event Logs (2018)Repairing Outlier Behaviour i…Applying Sequence Mining for Outlier Detection in Process Mining (2018)Applying Sequence Mining for …A non‐compensatory approach for trace clustering (2017)A non‐compensatory approach f…Workflow mining: A survey of issues and approaches (2003)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)An overview of workflow management: From process modeling to workflow automation infrastructure (1995)Business Process Intelligence (2003)Process mining: a research agenda (2003)Business process mining: An industrial application (2006)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)Correctness criteria for dynamic changes in workflow systems––a survey (2004)A configurable reference modelling language (2005)Enabling Flexibility in Process-Aware Information Systems (2012)Process Mining Manifesto (2012)Business Process Management: A Comprehensive Survey (2013)Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017)Replaying history on process models for conformance checking and performance analysis (2012)Process mining in healthcare: A literature review (2016)Semantics and analysis of business process models in BPMN (2008)Process Mining (2012)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Time prediction based on process mining (2010)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)
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References

  • 2004Workflow mining: discovering process models from event logs2,206 cited
  • 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes1,725 cited
  • 2007Conformance checking of processes based on monitoring real behavior1,119 cited
  • 2005The ProM Framework: A New Era in Process Mining Tool Support929 cited
  • 2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics890 cited
  • 1998Discovering models of software processes from event-based data870 cited
  • 1998Mining process models from workflow logs799 cited
  • 2002Inheritance of workflows: an approach to tackling problems related to change491 cited
  • 2007Genetic process mining: an experimental evaluation490 cited
  • 2006Process mining with the HeuristicsMiner algorithm484 cited
  • 2003Rediscovering workflow models from event-based data using little thumb468 cited
  • 2008Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital367 cited
  • 2008Process Discovery Using Integer Linear Programming336 cited
  • 2001Diagnosing Workflow Processes using Woflan317 cited
  • 2007Mining process models with non-free-choice constructs313 cited

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  • 2012On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery303 cited
  • Cited by

    • 2019A Case Study Lens on Process Mining in Practice44 cited
    • 2018Repairing Outlier Behaviour in Event Logs39 cited
    • 2019On the Contextualization of Event-Activity Mappings38 cited
    • 2018Applying Sequence Mining for Outlier Detection in Process Mining36 cited
    • 2020Cause vs. effect in context-sensitive prediction of business process instances28 cited
    • 2022Complex Process Modeling in Process Mining: A Systematic Review23 cited
    • 2021Root-cause analysis of process-data quality problems19 cited
    • 2022Demystifying Noise and Outliers in Event Logs: Review and Future Directions19 cited
    • 2017A non‐compensatory approach for trace clustering19 cited