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Learning of Process Representations Using Recurrent Neural Networks
16 references·2 citing·39 second hop
Learning of Process Representations Using Recurrent Neural Networks (2021)Learning of Process Representations Using…Business process variant analysis: Survey and classification (2021)Business process variant anal…A Generic Framework for Trace Clustering in Process Mining (2020)A Generic Framework for Trace…Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns (2019)Trace Clustering on Very Larg…BINet: Multi-perspective business process anomaly classification (2019)BINet: Multi-perspective busi…Multi-Perspective Clustering of Process Execution Traces (2018)Multi-Perspective Clustering …Analyzing business process anomalies using autoencoders (2018)Analyzing business process an…act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes (2018)act2vec, trace2vec, log2vec, …Predicting process behaviour using deep learning (2017)Predicting process behaviour …Clustering Traces Using Sequence Alignment (2016)Clustering Traces Using Seque…BPI Challenge 2015 (2015)BPI Challenge 2015A Comparative Analysis of Process Instance Cluster Techniques (2015)A Comparative Analysis of Pro…A Co-Training Strategy for Multiple View Clustering in Process Mining (2015)A Co-Training Strategy for Mu…Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models (2010)Trace Clustering Based on Con…Trace Clustering in Process Mining (2009)Trace Clustering in Process M…Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)Context Aware Trace Clusterin…Discovering expressive process models by clustering log traces (2006)Discovering expressive proces…Global conformance checking measures using shallow representation and deep learning (2023)Global conformance checking m…Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs (2022)Semi-Supervised Discovery of …Rediscovering workflow models from event-based data using little thumb (2003)Workflow mining: discovering process models from event logs (2004)Business process mining: An industrial application (2006)Process diagnostics using trace alignment: Opportunities, issues, and challenges (2011)The Use of Process Mining in Business Process Simulation Model Construction (2015)A Survey on Concept Drift in Process Mining (2021)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Workflow mining: A survey of issues and approaches (2003)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)Conformance checking of processes based on monitoring real behavior (2007)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)A Multi-View Deep Learning Approach for Predictive Business Process Monitoring (2021)Machine learning in business process management: A systematic literature review (2024)Predictive process monitoring: concepts, challenges, and future research directions (2024)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)Learning Accurate LSTM Models of Business Processes (2019)Process mining techniques and applications – A systematic mapping study (2019)Mining process models with non-free-choice constructs (2007)Predictive Business Process Monitoring with LSTM Neural Networks (2017)A Systematic Review of Anomaly Detection for Business Process Event Logs (2023)Large Process Models: A Vision for Business Process Management in the Age of Generative AI (2024)Snowball Sampling: Problems and Techniques of Chain Referral Sampling (1981)Workflow Patterns (2003)Fundamentals of Business Process Management (2018)ProcessGAN: Supporting the creation of business process improvement ideas through generative machine learning (2022)The Impact of Artificial Intelligence on Business Processes (2023)Active Trace Clustering for Improved Process Discovery (2013)Wanna improve process mining results? (2013)Building a complementary agenda for business process management and digital innovation (2020)BINet: Multivariate Business Process Anomaly Detection Using Deep Learning (2018)Autoencoders for improving quality of process event logs (2019)Recomposing conformance: Closing the circle on decomposed alignment-based conformance checking in process mining (2018)Decay Replay Mining to Predict Next Process Events (2019)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)
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References

  • 2017Predicting process behaviour using deep learning430 cited
  • 2009Trace Clustering in Process Mining364 cited
  • 2006Discovering expressive process models by clustering log traces321 cited
  • 2009Context Aware Trace Clustering: Towards Improving Process Mining Results252 cited
  • 2010Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models148 cited
  • 2018Analyzing business process anomalies using autoencoders112 cited
  • 2021Business process variant analysis: Survey and classification104 cited
  • 2019BINet: Multi-perspective business process anomaly classification96 cited
  • 2015BPI Challenge 201589 cited
  • 2015A Co-Training Strategy for Multiple View Clustering in Process Mining85 cited
  • 2018act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes80 cited
  • 2020A Generic Framework for Trace Clustering in Process Mining45 cited
  • 2015A Comparative Analysis of Process Instance Cluster Techniques39 cited
  • 2016Clustering Traces Using Sequence Alignment39 cited
  • 2019Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns22 cited

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  • 2018Multi-Perspective Clustering of Process Execution Traces16 cited
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    • 2023Global conformance checking measures using shallow representation and deep learning10 cited
    • 2022Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs8 cited