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Selecting Representative Sample Traces from Large Event Logs
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Selecting Representative Sample Traces from Large Event Logs (2021)Selecting Representative Sample Traces fr…The impact of biased sampling of event logs on the performance of process discovery (2021)The impact of biased sampling…Stochastic process mining: Earth movers’ stochastic conformance (2021)Stochastic process mining: Ea…Sampling business process event logs using graph‐based ranking model (2020)Sampling business process eve…Conformance Checking Approximation Using Subset Selection and Edit Distance (2020)Conformance Checking Approxim…BPI Challenge 2020 (2020)BPI Challenge 2020Estimating Process Conformance by Trace Sampling and Result Approximation (2019)Estimating Process Conformanc…Earth Movers’ Stochastic Conformance Checking (2019)Earth Movers’ Stochastic Conf…Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities (2018)Improving Process Discovery R…How Much Event Data Is Enough? A Statistical Framework for Process Discovery (2018)How Much Event Data Is Enough…Filtering out infrequent behavior from business process event logs (2017)Filtering out infrequent beha…Sepsis Cases - Event Log (2016)Sepsis Cases - Event LogProcess Mining (2016)Process MiningFiltering Out Infrequent Behavior from Business Process Event Logs (2016)Filtering Out Infrequent Beha…BPI Challenge 2015 (2015)BPI Challenge 2015Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Discovering Block-Structured …Workflow mining: discovering process models from event logs (2004)Workflow mining: discovering …THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Process mining in healthcare: A literature review (2016)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Replaying history on process models for conformance checking and performance analysis (2012)Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs (2017)A Survey on Concept Drift in Process Mining (2021)Event Log Preprocessing for Process Mining: A Review (2021)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Discovering more precise process models from event logs by filtering out chaotic activities (2018)Filtering Spurious Events from Event Streams of Business Processes (2018)Mining Uncertain Event Data in Process Mining (2019)The ProM Framework: A New Era in Process Mining Tool Support (2005)Process Mining: Data Science in Action (2016)Evaluating Conformance Measures in Process Mining Using Conformance Propositions (2019)Stochastic-Aware Conformance Checking: An Entropy-Based Approach (2020)Stochastic Process Discovery by Weight Estimation (2021)The Distribution of a Product from Several Sources to Numerous Localities (1941)Applied Probability and Queues (2003)Conformance checking of processes based on monitoring real behavior (2007)Conformance checking over uncertain event data (2021)Discovering generative models from event logs: data-driven simulation vs deep learning (2021)Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning (2022)Discovering workflow nets using integer linear programming (2017)Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs (2018)Recomposing conformance: Closing the circle on decomposed alignment-based conformance checking in process mining (2018)Decay Replay Mining to Predict Next Process Events (2019)Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning (2021)Online conformance checking: relating event streams to process models using prefix-alignments (2017)bupaR: Enabling reproducible business process analysis (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
  • 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach648 cited
  • 2016Filtering Out Infrequent Behavior from Business Process Event Logs164 cited
  • 2016Sepsis Cases - Event Log119 cited
  • 2021Stochastic process mining: Earth movers’ stochastic conformance93 cited
  • 2017Filtering out infrequent behavior from business process event logs92 cited
  • 2015BPI Challenge 201589 cited
  • 2019Earth Movers’ Stochastic Conformance Checking77 cited
  • 2018Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities72 cited
  • 2018How Much Event Data Is Enough? A Statistical Framework for Process Discovery39 cited
  • 2019Estimating Process Conformance by Trace Sampling and Result Approximation34 cited
  • 2020Sampling business process event logs using graph‐based ranking model31 cited
  • 2020Conformance Checking Approximation Using Subset Selection and Edit Distance30 cited
  • 2020BPI Challenge 202030 cited
  • 2021

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The impact of biased sampling of event logs on the performance of process discovery
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