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Predicting process behaviour using deep learning · Study

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ArticlePredicting process behaviour using deep learning

Jöerg Evermann2017

OA

Articlegreen2017

Predicting process behaviour using deep learning

Jöerg Evermann · Jana-Rebecca Rehse · Peter Fettke

430 citations·0/0 files stored·Decision Support Systems

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Business Process Modeling and Analysis Forecasting Techniques and Applications Robotic Process Automation Applications

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References

2012Replaying history on process models for conformance checking and performance analysis 2011Flexible Heuristics Miner (FHM)

Cited by

2019Process mining techniques and applications – A systematic mapping study 2017Decision support from financial disclosures with deep neural networks and transfer learning 2019Learning Accurate LSTM Models of Business Processes 2019Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring 2018The analytics paradigm in business research 2018Predictive Process Monitoring Methods: Which One Suits Me Best?2021A systematic literature review on state-of-the-art deep learning methods for process prediction 2020Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

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Details

Year2017

Typearticle

Published2017-04-17

VenueDecision Support Systems

ISSN-L0167-9236

Languageen

Citations430

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1016/j.dss.2017.04.003

openalex_workW2584722588

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