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Event Log Construction from Customer Service Conversations Using Natural Language Inference
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Event Log Construction from Customer Service Conversations Using Natural Language Inference (2021)Event Log Construction from Customer Serv…Quality-informed semi-automated event log generation for process mining (2020)Quality-informed semi-automat…Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (2019)Process Mining for Python (PM…Process Mining: Data Science in Action (2016)Process Mining: Data Science …Process Mining (2016)Process MiningIEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams (2016)IEEE Standard for eXtensible …Theory of Workarounds (2014)Theory of WorkaroundsDiscovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Discovering Block-Structured …Process Mining Manifesto (2012)Process Mining ManifestoDisco: discover your processes (2012)Disco: discover your processesProcess Model Generation from Natural Language Text (2011)Process Model Generation from…Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process Mining: Discovery, Co…Process Mining (2011)Process MiningProcess 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 …eTailQ: dimensionalizing, measuring and predicting etail quality (2003)eTailQ: dimensionalizing, mea…On the potential of large language models to solve semantics-aware process mining tasks (2025)On the potential of large lan…Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage (2025)Getting the Data in Shape for…Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks (2024)Evaluating the Ability of LLM…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)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Customer perceptions of e‐service quality in online shopping (2005)Consumer e-shopping acceptance: Antecedents in a technology acceptance model (2008)From e-commerce to social commerce: A close look at design features (2012)Discovering models of software processes from event-based data (1998)Business process mining: An industrial application (2006)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Semantics and analysis of business process models in BPMN (2008)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Conformance checking of processes based on monitoring real behavior (2007)Business Process Management: A Comprehensive Survey (2013)Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017)Process Mining (2012)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Process mining in healthcare: A literature review (2016)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)Replaying history on process models for conformance checking and performance analysis (2012)Outcome-Oriented Predictive Process Monitoring (2019)
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References

  • 2003eTailQ: dimensionalizing, measuring and predicting etail quality2,295 cited
  • 2004Workflow mining: discovering process models from event logs2,206 cited
  • 2016Process Mining2,166 cited
  • 2011Process Mining1,804 cited
  • 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes1,725 cited
  • 2012Process Mining Manifesto1,209 cited
  • 2005The ProM Framework: A New Era in Process Mining Tool Support929 cited
  • 2016Process Mining: Data Science in Action866 cited
  • 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach648 cited
  • 2006Process mining with the HeuristicsMiner algorithm484 cited
  • 2014Theory of Workarounds300 cited
  • 2011Process Model Generation from Natural Language Text258 cited
  • 2012Disco: discover your processes184 cited
  • 2019Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science165 cited
  • 2016IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams145 cited
  • 2020Quality-informed semi-automated event log generation for process mining

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  • 2025On the potential of large language models to solve semantics-aware process mining tasks19 cited
  • 2024Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks19 cited
  • 2025Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage15 cited