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Extracting Semantic Process Information from the Natural Language in Event Logs
9 references·2 citing·46 second hop
Extracting Semantic Process Information from the Natural Language in Event Logs (2021)Extracting Semantic Process Information f…BPI Challenge 2020 (2020)BPI Challenge 2020Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (2019)Process Mining for Python (PM…Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data (2019)Object-Centric Process Mining…IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs] (2017)IEEE 1849: The XES Standard: …Process Mining (2016)Process MiningHandling Duplicated Tasks in Process Discovery by Refining Event Labels (2016)Handling Duplicated Tasks in …Seven process modeling guidelines (7PMG) (2009)Seven process modeling guidel…Activity labeling in process modeling: Empirical insights and recommendations (2009)Activity labeling in process …Discovering Social Networks from Event Logs (2005)Discovering Social Networks f…Conversational Systems for AI-Augmented Business Process Management (2024)Conversational Systems for AI…Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL (2022)Uncovering Object-Centric Dat…The Measurement of Observer Agreement for Categorical Data (1977)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Refactoring large process model repositories (2011)Factors of process model comprehension—Findings from a series of experiments (2012)Comprehension of Procedural Visual Business Process Models (2017)Process modeling (1992)An overview of workflow management: From process modeling to workflow automation infrastructure (1995)Workflow Patterns (2003)BPMN: An introduction to the standard (2011)Enabling Flexibility in Process-Aware Information Systems (2012)Strategy archetypes for digital transformation: Defining meta objectives using business process management (2020)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Who Shall Survive (2007)Application of Process Mining in Healthcare – A Case Study in a Dutch Hospital (2008)Trace Clustering in Process Mining (2009)Genetic process mining: an experimental evaluation (2007)Replaying history on process models for conformance checking and performance analysis (2012)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)A Contextual Approach to Detecting Synonymous and Polluted Activity Labels in Process Event Logs (2019)Finding Complex Process-Structures by Exploiting the Token-Game (2019)Collaborative and Interactive Detection and Repair of Activity Labels in Process Event Logs (2020)Mining Social Networks: Uncovering Interaction Patterns in Business Processes (2004)The ProM Framework: A New Era in Process Mining Tool Support (2005)PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information (2020)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring (2023)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)A practitioner’s guide to process mining: Limitations of the directly-follows graph (2019)Process Mining: A 360 Degree Overview (2022)PM4Py: A process mining library for Python (2023)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Identifying and Reducing Errors in Remaining Time Prediction due to Inter-Case Dynamics (2020)A technique for determining relevance scores of process activities using graph-based neural networks (2021)Multi-perspective enriched instance graphs for next activity prediction through graph neural network (2023)English verb classes and alternations : a preliminaryinvestigation (1993)Organizing Business Knowledge: The MIT Process Handbook (2003)ocpa: A Python library for object-centric process analysis (2022)Enhancing Data-Awareness of Object-Centric Event Logs (2023)Transforming Event Knowledge Graph to Object-Centric Event Logs: A Comparative Study for Multi-dimensional Process Analysis (2023)Performance Analysis of Emergency Room Episodes Through Process Mining (2019)Partial-order-based process mining: a survey and outlook (2022)Automated Discovery of Process Models from Event Logs: Review and Benchmark (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

  • 2016Process Mining2,166 cited
  • 2009Seven process modeling guidelines (7PMG)626 cited
  • 2005Discovering Social Networks from Event Logs451 cited
  • 2009Activity labeling in process modeling: Empirical insights and recommendations262 cited
  • 2019Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data227 cited
  • 2019Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science165 cited
  • 2017IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]63 cited
  • 2016Handling Duplicated Tasks in Process Discovery by Refining Event Labels44 cited
  • 2020BPI Challenge 202030 cited

Cited by

  • 2022Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL26 cited
  • 2024Conversational Systems for AI-Augmented Business Process Management20 cited

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