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Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery
16 references·0 citing·29 second hop
Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery (2018)Abstract-and-Compare: A Family of Scalabl…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…Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs (2018)Split Miner: Automated Discov…Automated discovery of structured process models from event logs: The discover-and-structure approach (2018)Automated discovery of struct…Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Automated Discovery of Proces…Fodina: A robust and flexible heuristic process discovery technique (2017)Fodina: A robust and flexible…Filtering out infrequent behavior from business process event logs (2017)Filtering out infrequent beha…Scalable process discovery and conformance checking (2016)Scalable process discovery an…Measuring precision of modeled behavior (2014)Measuring precision of modele…Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Discovering Block-Structured …Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Discovering Block-Structured …Flexible Heuristics Miner (FHM) (2011)Flexible Heuristics Miner (FH…A robust F-measure for evaluating discovered process models (2011)A robust F-measure for evalua…A Fresh Look at Precision in Process Conformance (2010)A Fresh Look at Precision in …Conformance checking of processes based on monitoring real behavior (2007)Conformance checking of proce…Discovering expressive process models by clustering log traces (2006)Discovering expressive proces…Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Alignment Based Precision Checking (2013)Model repair — aligning process models to reality (2014)PM4Py: A process mining library for Python (2023)The ProM Framework: A New Era in Process Mining Tool Support (2005)Predicting process behaviour using deep learning (2017)Process Mining Manifesto (2012)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs (2012)Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity (2014)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)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Process mining for healthcare: Characteristics and challenges (2022)Process Mining: Data Science in Action (2016)Multi-Dimensional Event Data in Graph Databases (2021)Process Science in Action: A Literature Review on Process Mining in Business Management (2021)Process Mining: A 360 Degree Overview (2022)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)Automated discovery of business process simulation models from event logs (2020)
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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
  • 2011Flexible Heuristics Miner (FHM)494 cited
  • 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour458 cited
  • 2018Automated Discovery of Process Models from Event Logs: Review and Benchmark440 cited
  • 2006Discovering expressive process models by clustering log traces321 cited
  • 2018Split miner: automated discovery of accurate and simple business process models from event logs230 cited
  • 2016Scalable process discovery and conformance checking218 cited
  • 2010A Fresh Look at Precision in Process Conformance189 cited
  • 2014Measuring precision of modeled behavior145 cited
  • 2017Fodina: A robust and flexible heuristic process discovery technique141 cited
  • 2011A robust F-measure for evaluating discovered process models119 cited
  • 2017Filtering out infrequent behavior from business process event logs92 cited
  • 2018Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs92 cited
  • 2018The imprecisions of precision measures in process mining

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67 cited
  • 2018Automated discovery of structured process models from event logs: The discover-and-structure approach59 cited
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