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FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation
16 references·4 citing·34 second hop
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation (2021)FOX: a neuro-Fuzzy model for process Outc…A Multi-View Deep Learning Approach for Predictive Business Process Monitoring (2021)A Multi-View Deep Learning Ap…Process Outcome Prediction: CNN vs. LSTM (with Attention) (2020)Process Outcome Prediction: C…Predictive Process Mining Meets Computer Vision (2020)Predictive Process Mining Mee…ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs (2020)ORANGE: Outcome-Oriented Pred…Explainable Predictive Process Monitoring (2020)Explainable Predictive Proces…Explainable predictive business process monitoring using gated graph neural networks (2020)Explainable predictive busine…Explainability in Predictive Process Monitoring: When Understanding Helps Improving (2020)Explainability in Predictive …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…Temporal stability in predictive process monitoring (2018)Temporal stability in predict…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predictive 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…Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients (2025)Leveraging a large language m…LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs (2024)LUPIN: A LLM Approach for Act…JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction (2023)JARVIS: Joining Adversarial T…A data-aware explainable deep learning approach for next activity prediction (2023)A data-aware explainable deep…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)Empirical study of topic modeling in Twitter (2010)Fundamentals of Business Process Management (2013)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)An empirical comparison of classification techniques for next event prediction using business process event logs (2019)From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring (2019)Procedures for Performing Systematic Reviews (2004)Process Mining (2016)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)Process Mining: Data Science in Action (2016)Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Towards comprehensive support for organizational mining (2008)Predicting process behaviour using deep learning (2017)Predictive Process Monitoring (2022)Design Science in Information Systems Research1 (2004)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)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)A Systematic Review of Anomaly Detection for Business Process Event Logs (2023)17. A Value for n-Person Games (1953)A value for n -person games (1988)dEFEND (2019)Just Tell Me: Prompt Engineering in Business Process Management (2023)Predictive process monitoring: concepts, challenges, and future research directions (2024)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)Time and activity sequence prediction of business process instances (2018)
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References

  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 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
  • 2019Using Convolutional Neural Networks for Predictive Process Analytics125 cited
  • 2016Predictive Business Process Monitoring with Structured and Unstructured Data108 cited
  • 2020Explainable predictive business process monitoring using gated graph neural networks84 cited
  • 2020Explainable Predictive Process Monitoring81 cited
  • 2021A Multi-View Deep Learning Approach for Predictive Business Process Monitoring69 cited
  • 2020Explainability in Predictive Process Monitoring: When Understanding Helps Improving60 cited
  • 2020Process Outcome Prediction: CNN vs. LSTM (with Attention)58 cited
  • 2018Temporal stability in predictive process monitoring58 cited
  • 2020Predictive Process Mining Meets Computer Vision49 cited

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  • 2020ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs36 cited
  • Cited by

    • 2023A data-aware explainable deep learning approach for next activity prediction24 cited
    • 2024LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs22 cited
    • 2023JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction22 cited
    • 2025Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients11 cited