SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Multi-task prediction method of business process based on BERT and Transfer Learning
15 references·3 citing·34 second hop
Multi-task prediction method of business process based on BERT and Transfer Learning (2022)Multi-task prediction method of business …Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Deep Learning for Predictive …Building interpretable models for business process prediction using shared and specialised attention mechanisms (2022)Building interpretable models…Business process variant analysis: Survey and classification (2021)Business process variant anal…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…Temporal stability in predictive process monitoring (2018)Temporal stability in predict…A Novel Business Process Prediction Model Using a Deep Learning Method (2018)A Novel Business Process Pred…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Deep Learning Approach for …Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…A markov prediction model for data-driven semi-structured business processes (2013)A markov prediction model for…Multi-modal fusion for business process prediction in call center scenarios (2024)Multi-modal fusion for busine…LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs (2024)LUPIN: A LLM Approach for Act…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)Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)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)LSTM networks for data-aware remaining time prediction of business process instances (2017)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)BINet: Multi-perspective business process anomaly classification (2019)Product backorder prediction using deep neural network on imbalanced data (2021)Competing on analytics: the new science of winning (2007)Competing on Analytics: The New Science of Winning (2007)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Predicting performances in business processes using deep neural networks (2019)Creating business value with process mining (2022)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)A Multi-View Deep Learning Approach for Predictive Business Process Monitoring (2021)Towards comprehensive support for organizational mining (2008)Predictive Process Monitoring (2022)ProcessGAN: Supporting the creation of business process improvement ideas through generative machine learning (2022)Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements (2023)Predictive process monitoring: concepts, challenges, and future research directions (2024)
this work references cited by second hop

References

  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 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
  • 2019Using Convolutional Neural Networks for Predictive Process Analytics125 cited
  • 2013A markov prediction model for data-driven semi-structured business processes120 cited
  • 2020Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction114 cited
  • 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime105 cited
  • 2018A Novel Business Process Prediction Model Using a Deep Learning Method104 cited
  • 2021Business process variant analysis: Survey and classification104 cited
  • 2023Deep Learning for Predictive Business Process Monitoring: Review and Benchmark104 cited
  • 2019Activity Prediction of Business Process Instances with Inception CNN Models80 cited
  • 2018Temporal stability in predictive process monitoring58 cited
  • 2022Building interpretable models for business process prediction using shared and specialised attention mechanisms

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

47 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
  • 2024Multi-modal fusion for business process prediction in call center scenarios14 cited