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ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs
16 references·7 citing·29 second hop
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs (2020)ORANGE: Outcome-Oriented Predictive Proce…Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)Predictive Business Process M…Using Convolutional Neural Networks for Predictive Process Analytics (2019)Using Convolutional Neural Ne…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Learning Accurate LSTM Models of Business Processes (2019)Learning Accurate LSTM Models…Activity Prediction of Business Process Instances with Inception CNN Models (2019)Activity Prediction of Busine…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)Intra and Inter-case Features…A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Deep Learning Approach for …Process Mining (2016)Process MiningPredictive Business Process Monitoring with Structured and Unstructured Data (2016)Predictive Business Process M…Clustering-Based Predictive Process Monitoring (2016)Clustering-Based Predictive P…Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Complex Symbolic Sequence Enc…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…Business Process Intelligence (2003)Business Process IntelligenceImproving Business Process Quality through Exception Understanding, Prediction, and Prevention (2001)Improving Business Process Qu…Machine learning-based detection of concept drift in business processes (2025)Machine learning-based detect…A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry (2024)A hybrid machine learning wit…TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments (2023)TSUNAMI - an explainable PPM …JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction (2023)JARVIS: Joining Adversarial T…DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring (2023)DARWIN: An online deep learni…Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks (2021)Multivariate Business Process…FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation (2021)FOX: a neuro-Fuzzy model for …A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)Time prediction based on process mining (2010)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Perspectives on Behavior-Based versus Outcome-Based Salesforce Control Systems (1987)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Mining process models with non-free-choice constructs (2007)Process mining: a two-step approach to balance between underfitting and overfitting (2008)Trace Clustering in Process Mining (2009)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)Process mining techniques and applications – A systematic mapping study (2019)Procedures for Performing Systematic Reviews (2004)Fundamentals of Business Process Management (2018)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)The biggest business process management problems to solve before we die (2023)Towards comprehensive support for organizational mining (2008)Predictive Process Monitoring (2022)Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction (2020)Process mining : extending the alpha-algorithm to mine short loops (2004)Deadline-based escalation in process-aware information systems (2007)A novel approach for process mining based on event types (2008)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)Time and activity sequence prediction of business process instances (2018)
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  • 2016Process Mining2,166 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2003Business Process Intelligence538 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2019Learning Accurate LSTM Models of Business Processes241 cited
  • 2015Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes191 cited
  • 2016Clustering-Based Predictive Process Monitoring186 cited
  • 2001Improving Business Process Quality through Exception Understanding, Prediction, and Prevention165 cited
  • 2019Using Convolutional Neural Networks for Predictive Process Analytics125 cited
  • 2020Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction114 cited
  • 2016Predictive Business Process Monitoring with Structured and Unstructured Data108 cited
  • 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime105 cited
  • 2017Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions105 cited

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  • 2019Activity Prediction of Business Process Instances with Inception CNN Models80 cited
  • Cited by

    • 2023DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring33 cited
    • 2024A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry26 cited
    • 2021FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation24 cited
    • 2021Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks23 cited
    • 2023JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction22 cited
    • 2023TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments19 cited
    • 2025Machine learning-based detection of concept drift in business processes17 cited