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Preserving complex object-centric graph structures to improve machine learning tasks in process mining
16 references·1 citing·30 second hop
Preserving complex object-centric graph structures to improve machine learning tasks in process mining (2023)Preserving complex object-centric graph s…Process Mining Handbook (2022)Process Mining HandbookOCEL: A Standard for Object-Centric Event Logs (2021)OCEL: A Standard for Object-C…Discovering Object-centric Petri Nets (2020)Discovering Object-centric Pe…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data (2019)Object-Centric Process Mining…Fundamentals of Business Process Management (2018)Fundamentals of Business Proc…Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Automated Discovery of Proces…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Process Mining: Data Science in Action (2016)Process Mining: Data Science …Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Complex Symbolic Sequence Enc…A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)A general process mining fram…Modeling and Enacting Complex Data Dependencies in Business Processes (2013)Modeling and Enacting Complex…2013 IEEE International Conference on Big Data (2013)2013 IEEE International Confe…Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes (2009)Business Artifacts: A Data-ce…An overview of workflow management: From process modeling to workflow automation infrastructure (1995)An overview of workflow manag…Operational process monitoring: An object-centric approach (2024)Operational process monitorin…Business artifacts: An approach to operational specification (2003)Workflow Patterns (2003)Declarative Event-Based Workflow as Distributed Dynamic Condition Response Graphs (2011)Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)Flexible Heuristics Miner (FHM) (2011)Replaying history on process models for conformance checking and performance analysis (2012)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)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)Procedures for Performing Systematic Reviews (2004)The biggest business process management problems to solve before we die (2023)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Fundamentals of Business Process Management (2013)Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)Predictive Process Monitoring (2022)The Six Core Elements of Business Process Management (2010)Strategy archetypes for digital transformation: Defining meta objectives using business process management (2020)Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)Business Process Management: A Comprehensive Survey (2013)Process mining techniques and applications – A systematic mapping study (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)Process mining for healthcare: Characteristics and challenges (2022)Learning Accurate LSTM Models of Business Processes (2019)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)A survey of results on mobile phone datasets analysis (2015)Big data preprocessing: methods and prospects (2016)Big Data technologies: A survey (2017)
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References

  • 2018Fundamentals of Business Process Management1,831 cited
  • 1995An overview of workflow management: From process modeling to workflow automation infrastructure1,530 cited
  • 20132013 IEEE International Conference on Big Data1,390 cited
  • 2016Process Mining: Data Science in Action866 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2018Automated Discovery of Process Models from Event Logs: Review and Benchmark440 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2009Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes358 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2015A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs251 cited
  • 2019Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data227 cited
  • 2022Process Mining Handbook224 cited
  • 2015Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes191 cited
  • 2020Discovering Object-centric Petri Nets137 cited
  • 2013Modeling and Enacting Complex Data Dependencies in Business Processes

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119 cited
  • 2021OCEL: A Standard for Object-Centric Event Logs109 cited
  • Cited by

    • 2024Operational process monitoring: An object-centric approach14 cited