SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks
16 references·0 citing·38 second hopsampled
Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks (2024)Detecting Anomalous Events in Object-Cent…A Systematic Review of Anomaly Detection for Business Process Event Logs (2023)A Systematic Review of Anomal…Process Mining: A 360 Degree Overview (2022)Process Mining: A 360 Degree …Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities (2022)Exploring Gated Graph Sequenc…Defining Cases and Variants for Object-Centric Event Data (2022)Defining Cases and Variants f…Precision and Fitness in Object-Centric Process Mining (2021)Precision and Fitness in Obje…OCEL: A Standard for Object-Centric Event Logs (2021)OCEL: A Standard for Object-C…Graph Autoencoders for Business Process Anomaly Detection (2021)Graph Autoencoders for Busine…Explainable predictive business process monitoring using gated graph neural networks (2020)Explainable predictive busine…Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data (2019)Object-Centric Process Mining…BINet: Multi-perspective business process anomaly classification (2019)BINet: Multi-perspective busi…Autoencoders for improving quality of process event logs (2019)Autoencoders for improving qu…Analyzing business process anomalies using autoencoders (2018)Analyzing business process an…Multi-perspective Anomaly Detection in Business Process Execution Events (2016)Multi-perspective Anomaly Det…Building instance graphs for highly variable processes (2016)Building instance graphs for …Algorithms for anomaly detection of traces in logs of process aware information systems (2012)Algorithms for anomaly detect…Anomaly Detection Using Process Mining (2009)Anomaly Detection Using Proce…Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Conformance checking of processes based on monitoring real behavior (2007)Event Log Preprocessing for Process Mining: A Review (2021)Process Science in Action: A Literature Review on Process Mining in Business Management (2021)Data fusion (2009)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Rediscovering workflow models from event-based data using little thumb (2003)Process Mining (2011)Event-based failure prediction in distributed business processes (2017)Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users (2019)Data Cleaning: Problems and Current Approaches. (2000)Methodologies for data quality assessment and improvement (2009)Process Mining Manifesto (2012)Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring (2023)Machine learning in business process management: A systematic literature review (2024)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Workflow Patterns (2003)A practitioner’s guide to process mining: Limitations of the directly-follows graph (2019)PM4Py: A process mining library for Python (2023)Mining process models with non-free-choice constructs (2007)Predicting process behaviour using deep learning (2017)Predictive Business Process Monitoring with LSTM Neural Networks (2017)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)Large Process Models: A Vision for Business Process Management in the Age of Generative AI (2024)Design Science in Information Systems Research1 (2004)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Process Mining (2016)A Multi-View Deep Learning Approach for Predictive Business Process Monitoring (2021)Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes (2009)XES, XESame, and ProM 6 (2011)OC-PM: analyzing object-centric event logs and process models (2022)Explainable concept drift in process mining (2023)The Principles of Scientific Management. (1912)Foundations of Process Discovery (2022)Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs (2022)Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective (2024)BINet: Multivariate Business Process Anomaly Detection Using Deep Learning (2018)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2019Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data227 cited
  • 2022Process Mining: A 360 Degree Overview179 cited
  • 2012Algorithms for anomaly detection of traces in logs of process aware information systems118 cited
  • 2018Analyzing business process anomalies using autoencoders112 cited
  • 2021OCEL: A Standard for Object-Centric Event Logs109 cited
  • 2009Anomaly Detection Using Process Mining106 cited
  • 2019BINet: Multi-perspective business process anomaly classification96 cited
  • 2020Explainable predictive business process monitoring using gated graph neural networks84 cited
  • 2019Autoencoders for improving quality of process event logs77 cited
  • 2016Multi-perspective Anomaly Detection in Business Process Execution Events71 cited
  • 2023A Systematic Review of Anomaly Detection for Business Process Event Logs56 cited
  • 2022Defining Cases and Variants for Object-Centric Event Data49 cited
  • 2016Building instance graphs for highly variable processes49 cited
  • 2021Precision and Fitness in Object-Centric Process Mining45 cited
  • 2022Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

38 cited
  • 2021Graph Autoencoders for Business Process Anomaly Detection37 cited
  • Cited by

    No citing works inside the corpus for this window.