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Anti-alignments—Measuring the precision of process models and event logs
16 references·0 citing·37 second hop
Anti-alignments—Measuring the precision of process models and event logs (2020)Anti-alignments—Measuring the precision o…The imprecisions of precision measures in process mining (2018)The imprecisions of precision…Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs (2018)Split Miner: Automated Discov…Conformance Checking (2018)Conformance CheckingAutomated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Automated Discovery of Proces…Scalable process discovery and conformance checking (2016)Scalable process discovery an…Conformance Checking and Diagnosis in Process Mining (2016)Conformance Checking and Diag…Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity (2014)Quality Dimensions in Process…Measuring precision of modeled behavior (2014)Measuring precision of modele…Determining process model precision and generalization with weighted artificial negative events (2014)Determining process model pre…Aligning observed and modeled behavior (2014)Aligning observed and modeled…Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Discovering Block-Structured …Process mining:conformance and extension (2010)Process mining:conformance an…Efficient Consistency Measurement Based on Behavioral Profiles of Process Models (2010)Efficient Consistency Measure…ProM : the process mining toolkit (2009)ProM : the process mining too…Diagnosing Differences between Business Process Models (2008)Diagnosing Differences betwee…Conformance checking of processes based on monitoring real behavior (2007)Conformance checking of proce…Workflow mining: discovering process models from event logs (2004)The ProM Framework: A New Era in Process Mining Tool Support (2005)A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs (2012)Time and activity sequence prediction of business process instances (2018)A Survey on Concept Drift in Process Mining (2021)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)YAWL: yet another workflow language (2004)Behavioral Similarity – A Proper Metric (2011)Human and automatic modularizations of process models to enhance their comprehension (2011)A comparative survey of business process similarity measures (2012)Dilemmas in a general theory of planning (1973)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Seven Paradoxes of Business Process Management in a Hyper-Connected World (2020)A Five-Level Framework for Research on Process Mining (2021)PM4Py: A process mining library for Python (2023)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)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Single-Entry Single-Exit decomposed conformance checking (2014)Complete and Interpretable Conformance Checking of Business Processes (2017)Fundamentals of Business Process Management (2018)Directly Follows-Based Process Mining: Exploration & a Case Study (2019)Process Mining (2016)Split miner: automated discovery of accurate and simple business process models from event logs (2018)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Process mining for healthcare: Characteristics and challenges (2022)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Automated discovery of business process simulation models from event logs (2020)Extracting Event Data from Databases to Unleash Process Mining (2015)Conformance checking based on multi-perspective declarative process models (2016)Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data (2019)Event abstraction in process mining: literature review and taxonomy (2020)Process Mining: A 360 Degree Overview (2022)
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References

  • 2007Conformance checking of processes based on monitoring real behavior1,119 cited
  • 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach648 cited
  • 2018Automated Discovery of Process Models from Event Logs: Review and Benchmark440 cited
  • 2018Conformance Checking334 cited
  • 2009ProM : the process mining toolkit283 cited
  • 2016Scalable process discovery and conformance checking218 cited
  • 2014Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity216 cited
  • 2014Aligning observed and modeled behavior206 cited
  • 2010Efficient Consistency Measurement Based on Behavioral Profiles of Process Models199 cited
  • 2014Measuring precision of modeled behavior145 cited
  • 2018Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs92 cited
  • 2014Determining process model precision and generalization with weighted artificial negative events92 cited
  • 2016Conformance Checking and Diagnosis in Process Mining77 cited
  • 2008Diagnosing Differences between Business Process Models73 cited
  • 2010Process mining:conformance and extension

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73 cited
  • 2018The imprecisions of precision measures in process mining67 cited
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