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Global conformance checking measures using shallow representation and deep learning
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Global conformance checking measures using shallow representation and deep learning (2023)Global conformance checking measures usin…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 ManagementA review of machine learning for the optimization of production processes (2019)A review of machine learning …Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Scalable process discovery and conformance checking (2016)Scalable process discovery an…Balanced multi-perspective checking of process conformance (2015)Balanced multi-perspective ch…Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Discovering Block-Structured …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 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…Conformance Testing: Measuring the Fit and Appropriateness of Event Logs and Process Models (2006)Conformance Testing: Measurin…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 …Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity (2014)Split miner: automated discovery of accurate and simple business process models from event logs (2018)Process Mining Manifesto (2012)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Workflow mining: A survey of issues and approaches (2003)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)Flexible Heuristics Miner (FHM) (2011)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Process mining techniques and applications – A systematic mapping study (2019)The Application of Statistics as an Aid in Maintaining Quality of a Manufactured Product (1925)Design and Analysis of Experiments (2012)Big data: A review (2013)Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review (2020)A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021)A Review on AI for Smart Manufacturing: Deep Learning Challenges and Solutions (2022)Process Mining (2012)Learning Accurate LSTM Models of Business Processes (2019)Outcome-Oriented Predictive Process Monitoring (2019)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)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)
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References

  • 2004Workflow mining: discovering process models from event logs2,206 cited
  • 2007Conformance checking of processes based on monitoring real behavior1,119 cited
  • 2005The ProM Framework: A New Era in Process Mining Tool Support929 cited
  • 2012Replaying history on process models for conformance checking and performance analysis738 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour458 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2019A review of machine learning for the optimization of production processes400 cited
  • 2012On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery303 cited
  • 2019Business Process Management236 cited
  • 2015Balanced multi-perspective checking of process conformance222 cited
  • 2016Scalable process discovery and conformance checking218 cited
  • 2010A Fresh Look at Precision in Process Conformance189 cited
  • 2006Conformance Testing: Measuring the Fit and Appropriateness of Event Logs and Process Models177 cited
  • 2009Robust Process Discovery with Artificial Negative Events

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169 cited
  • 2019Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science165 cited
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