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Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
16 references·1 citing·26 second hop
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2021)Deep Learning for Predictive Business Pro…A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)A systematic literature revie…Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Survey and Cross-benchmark Co…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Learning Accurate LSTM Models of Business Processes (2019)Learning Accurate LSTM Models…Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Predictive Process Monitoring…Predictive Monitoring of Business Processes: A Survey (2017)Predictive Monitoring of Busi…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Comprehensible Predictive Models for Business Processes1 (2016)Comprehensible Predictive Mod…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…Process Mining Manifesto (2012)Process Mining ManifestoProcess Mining (2011)Process MiningTime prediction based on process mining (2010)Time prediction based on proc…Measurement Reliability and Validity (2000)Measurement Reliability and V…Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs (2021)Evaluating Predictive Busines…A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)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)Process Mining (2012)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Business Process Management: A Comprehensive Survey (2013)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)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)Business Process Intelligence (2003)Process Mining (2016)Procedures for Performing Systematic Reviews (2004)Fundamentals of Business Process Management (2018)The biggest business process management problems to solve before we die (2023)Towards comprehensive support for organizational mining (2008)Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)Predictive Process Monitoring (2022)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Deep Facial Expression Recognition: A Survey (2020)Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition (2022)
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  • 2011Process Mining1,804 cited
  • 2012Process Mining Manifesto1,209 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2010Time prediction based on process mining507 cited
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  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2017Predictive Monitoring of Business Processes: A Survey279 cited
  • 2019Learning Accurate LSTM Models of Business Processes241 cited
  • 2019Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring207 cited
  • 2015Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes191 cited
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  • 2018Predictive Process Monitoring Methods: Which One Suits Me Best?175 cited
  • 2021A systematic literature review on state-of-the-art deep learning methods for process prediction

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174 cited

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  • 2021Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs17 cited