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Predicting the Next Process Event Using Convolutional Neural Networks
16 references·1 citing·42 second hop
Predicting the Next Process Event Using Convolutional Neural Networks (2018)Predicting the Next Process Event Using C…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …LSTM networks for data-aware remaining time prediction of business process instances (2017)LSTM networks for data-aware …Deep learning in big data Analytics: A comparative study (2017)Deep learning in big data Ana…A Multi-stage Deep Learning Approach for Business Process Event Prediction (2017)A Multi-stage Deep Learning A…Predictive Business Process Monitoring Framework with Hyperparameter Optimization (2016)Predictive Business Process M…Comprehensible Predictive Models for Business Processes1 (2016)Comprehensible Predictive Mod…Leveraging path information to generate predictions for parallel business processes (2015)Leveraging path information t…Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Complex Symbolic Sequence Enc…Process Mining in the Large: A Tutorial (2014)Process Mining in the Large: …Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining (2014)Completion Time and Next Acti…Comparing and Combining Predictive Business Process Monitoring Techniques (2014)Comparing and Combining Predi…A markov prediction model for data-driven semi-structured business processes (2013)A markov prediction model for…A Hybrid Model for Business Process Event Prediction (2012)A Hybrid Model for Business P…Real-time business process monitoring method for prediction of abnormal termination using KNNI-based LOF prediction (2011)Real-time business process mo…Time prediction based on process mining (2010)Time prediction based on proc…Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2021)Deep Learning for Predictive …Discovering models of software processes from event-based data (1998)Workflow mining: A survey of issues and approaches (2003)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Novel Business Process Prediction Model Using a Deep Learning Method (2018)Workflow mining: discovering process models from event logs (2004)Another look at measures of forecast accuracy (2006)Decay Replay Mining to Predict Next Process Events (2019)An extended model for remaining time prediction in manufacturing systems using process mining (2020)Business Process Intelligence (2003)An overview of business intelligence technology (2011)Predictive Business Process Monitoring with Structured and Unstructured Data (2016)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2012)Predictive Monitoring of Business Processes: A Survey (2017)Predictive Monitoring of Business Processes (2014)Clustering-Based Predictive Process Monitoring (2016)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)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Big Data: A Survey (2014)Smart Products: Conceptual Review, Synthesis, and Research Directions* (2020)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)Reengineering the corporation: A manifesto for business revolution (1993)Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications (2000)Process Mining (2011)Explainable predictive business process monitoring using gated graph neural networks (2020)Explainable Predictive Process Monitoring (2020)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Big Data Deep Learning: Challenges and Perspectives (2014)Deep learning applications and challenges in big data analytics (2015)Machine learning on big data: Opportunities and challenges (2017)Blending Big Data Analytics: Review on Challenges and a Recent Study (2019)The Nexus Between Big Data and Decision-Making: A Study of Big Data Techniques and Technologies (2021)A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions (2024)Learning Accurate LSTM Models of Business Processes (2019)Outcome-Oriented Predictive Process Monitoring (2019)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)
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References

  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2010Time prediction based on process mining507 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2017Deep learning in big data Analytics: A comparative study262 cited
  • 2015Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes191 cited
  • 2016Comprehensible Predictive Models for Business Processes1188 cited
  • 2014Comparing and Combining Predictive Business Process Monitoring Techniques129 cited
  • 2013A markov prediction model for data-driven semi-structured business processes120 cited
  • 2017LSTM networks for data-aware remaining time prediction of business process instances118 cited
  • 2014Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining80 cited
  • 2011Real-time business process monitoring method for prediction of abnormal termination using KNNI-based LOF prediction72 cited
  • 2014Process Mining in the Large: A Tutorial67 cited
  • 2017A Multi-stage Deep Learning Approach for Business Process Event Prediction63 cited
  • 2016Predictive Business Process Monitoring Framework with Hyperparameter Optimization48 cited
  • 2015

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Leveraging path information to generate predictions for parallel business processes
45 cited
  • 2012A Hybrid Model for Business Process Event Prediction29 cited
  • Cited by

    • 2021Deep Learning for Predictive Business Process Monitoring: Review and Benchmark18 cited