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An empirical evaluation of unsupervised event log abstraction techniques in process mining
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An empirical evaluation of unsupervised event log abstraction techniques in process mining (2023)An empirical evaluation of unsupervised e…Event abstraction in process mining: literature review and taxonomy (2020)Event abstraction in process …Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (2019)Process Mining for Python (PM…Business Process Management (2019)Business Process ManagementProcess Mining (2016)Process MiningMining local process models (2016)Mining local process modelsMeasuring precision of modeled behavior (2014)Measuring precision of modele…Bridging abstraction layers in process mining (2014)Bridging abstraction layers i…Alignment Based Precision Checking (2013)Alignment Based Precision Che…Conformance Checking Using Cost-Based Fitness Analysis (2011)Conformance Checking Using Co…A Study Into the Factors That Influence the Understandability of Business Process Models (2010)A Study Into the Factors That…Abstractions in Process Mining: A Taxonomy of Patterns (2009)Abstractions in Process Minin…Metrics for Process Models (2008)Metrics for Process ModelsWhat Makes Process Models Understandable? (2007)What Makes Process Models Und…Conformance checking of processes based on monitoring real behavior (2007)Conformance checking of proce…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 …Rank Correlation Methods. (1957)Guidelines of Business Process Modeling (2000)Workflow Verification: Finding Control-Flow Errors Using Petri-Net-Based Techniques (2000)Activity labeling in process modeling: Empirical insights and recommendations (2009)Refactoring large process model repositories (2011)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012)Scalable process discovery and conformance checking (2016)Split miner: automated discovery of accurate and simple business process models from event logs (2018)Workflow mining: A survey of issues and approaches (2003)Replaying history on process models for conformance checking and performance analysis (2012)Business Process Management: A Comprehensive Survey (2013)Process mining in healthcare: A literature review (2016)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)THE MIND'S EYE IN CHESS (1973)EXPERT AND EXCEPTIONAL PERFORMANCE: Evidence of Maximal Adaptation to Task Constraints (1996)Research Methods in Education (2007)Making sense of business process descriptions: An experimental comparison of graphical and textual notations (2011)Factors of process model comprehension—Findings from a series of experiments (2012)Comprehension of Procedural Visual Business Process Models (2017)BPMN: An introduction to the standard (2011)Process Mining: Data Science in Action (2016)Event Log Preprocessing for Process Mining: A Review (2021)Utilizing domain knowledge in data-driven process discovery: A literature review (2022)The biggest business process management problems to solve before we die (2023)Business process model abstraction: a definition, catalog, and survey (2012)Imperative versus Declarative Process Modeling Languages: An Empirical Investigation (2012)The State of the Art of Business Process Management Research as Published in the BPM Conference (2015)Approaches to modeling business processes: a critical analysis of BPMN, workflow patterns and YAWL (2011)Evaluating Business Process Maturity Models (2017)Extraction, correlation, and abstraction of event data for process mining (2019)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Outcome-Oriented Predictive Process Monitoring (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)
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References

  • 2004Workflow mining: discovering process models from event logs2,206 cited
  • 2016Process Mining2,166 cited
  • 2007Conformance checking of processes based on monitoring real behavior1,119 cited
  • 2005The ProM Framework: A New Era in Process Mining Tool Support929 cited
  • 2011Conformance Checking Using Cost-Based Fitness Analysis393 cited
  • 2007What Makes Process Models Understandable?310 cited
  • 2010A Study Into the Factors That Influence the Understandability of Business Process Models276 cited
  • 2019Business Process Management236 cited
  • 2008Metrics for Process Models189 cited
  • 2020Event abstraction in process mining: literature review and taxonomy172 cited
  • 2019Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science165 cited
  • 2009Abstractions in Process Mining: A Taxonomy of Patterns158 cited
  • 2013Alignment Based Precision Checking158 cited
  • 2014Measuring precision of modeled behavior145 cited
  • 2014Bridging abstraction layers in process mining114 cited
  • 2016Mining local process models

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