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Evaluating Conformance Measures in Process Mining Using Conformance Propositions
16 references·10 citing·24 second hop
Evaluating Conformance Measures in Process Mining Using Conformance Propositions (2019)Evaluating Conformance Measures in Proces…Conformance Checking (2018)Conformance CheckingScalable process discovery and conformance checking (2016)Scalable process discovery an…Process Mining (2016)Process MiningBalanced multi-perspective checking of process conformance (2015)Balanced multi-perspective ch…Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity (2014)Quality Dimensions in Process…Alignment Based Precision Checking (2013)Alignment Based Precision Che…Replaying history on process models for conformance checking and performance analysis (2012)Replaying history on process …On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012)On the Role of Fitness, Preci…A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs (2012)A multi-dimensional quality a…Conformance Checking Using Cost-Based Fitness Analysis (2011)Conformance Checking Using Co…A Fresh Look at Precision in Process Conformance (2010)A Fresh Look at Precision in …Robust Process Discovery with Artificial Negative Events (2009)Robust Process Discovery with…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…Discovering expressive process models by clustering log traces (2006)Discovering expressive proces…Workflow mining: discovering process models from event logs (2004)Workflow mining: discovering …Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis (2023)Process mining meets model le…Agent Miner: An Algorithm for Discovering Agent Systems from Event Data (2023)Agent Miner: An Algorithm for…The connection between process complexity of event sequences and models discovered by process mining (2022)The connection between proces…Foundations of Process Discovery (2022)Foundations of Process Discov…All that glitters is not gold: Four maturity stages of process discovery algorithms (2022)All that glitters is not gold…Precision and Fitness in Object-Centric Process Mining (2021)Precision and Fitness in Obje…Entropic relevance: A mechanism for measuring stochastic process models discovered from event data (2021)Entropic relevance: A mechani…Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach (2020)Measuring Fitness and Precisi…An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining (2020)An Entropic Relevance Measure…Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components (2019)Scalable Alignment of Process…Workflow mining: A survey of issues and approaches (2003)The ProM Framework: A New Era in Process Mining Tool Support (2005)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)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Split miner: automated discovery of accurate and simple business process models from event logs (2018)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Business Process Management: A Comprehensive Survey (2013)Process mining in healthcare: A literature review (2016)Conformance checking based on multi-perspective declarative process models (2016)Extraction, correlation, and abstraction of event data for process mining (2019)Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction (2020)Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)Process Mining (2012)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Predicting process behaviour using deep learning (2017)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)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
  • 2012Replaying history on process models for conformance checking and performance analysis738 cited
  • 2006Process mining with the HeuristicsMiner algorithm484 cited
  • 2011Conformance Checking Using Cost-Based Fitness Analysis393 cited
  • 2018Conformance Checking334 cited
  • 2006Discovering expressive process models by clustering log traces321 cited
  • 2012On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery303 cited
  • 2015Balanced multi-perspective checking of process conformance222 cited
  • 2016Scalable process discovery and conformance checking218 cited
  • 2014Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity216 cited
  • 2012A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs215 cited
  • 2010A Fresh Look at Precision in Process Conformance189 cited
  • 2009Robust Process Discovery with Artificial Negative Events

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169 cited
  • 2013Alignment Based Precision Checking158 cited
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    • 2022The connection between process complexity of event sequences and models discovered by process mining58 cited
    • 2022Foundations of Process Discovery52 cited
    • 2021Precision and Fitness in Object-Centric Process Mining45 cited
    • 2020An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining35 cited
    • 2021Entropic relevance: A mechanism for measuring stochastic process models discovered from event data30 cited
    • 2020Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach27 cited
    • 2019Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components22 cited
    • 2023Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis20 cited
    • 2023Agent Miner: An Algorithm for Discovering Agent Systems from Event Data19 cited
    • 2022All that glitters is not gold: Four maturity stages of process discovery algorithms17 cited