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Predictive Process Monitoring Methods: Which One Suits Me Best? · Study

WorkPredictive Process Monitoring Methods: Which One Suits Me Best?

Chiara Di Francescomarino2018

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Workgreen2018

Predictive Process Monitoring Methods: Which One Suits Me Best?

Chiara Di Francescomarino · Chiara Ghidini · Fabrizio Maria Maggi · Fredrik Milani

175 citations·0/0 files stored·Lecture notes in computer science

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Business Process Modeling and Analysis Data Mining Algorithms and Applications Robotic Process Automation Applications

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References

2004Procedures for Performing Systematic Reviews 2016Process Mining 2012Process Mining Manifesto 2017Predictive Business Process Monitoring with LSTM Neural Networks 2010Time prediction based on process mining 2017Predicting process behaviour using deep learning 2014Predictive Monitoring of Business Processes 2017Predictive Monitoring of Business Processes: A Survey

Cited by

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 2022Predictive Process Monitoring 2021Business process variant analysis: Survey and classification 2023Deep Learning for Predictive Business Process Monitoring: Review and Benchmark 2018Automated Planning for Business Process Management

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2020Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Predictionarticle · 8 shared references 2022Predictive Process Monitoringchapter · 7 shared references 2023Deep Learning for Predictive Business Process Monitoring: Review and Benchmarkarticle · 7 shared references 2019From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoringarticle · 7 shared references 2018Temporal stability in predictive process monitoringarticle · 7 shared references 2024Predictive process monitoring: concepts, challenges, and future research directionsarticle · 7 shared references

Details

Year2018

Typeother

Published2018-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations175

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-319-98648-7_27

openalex_workW2795545648

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2021

A Multi-View Deep Learning Approach for Predictive Business Process Monitoring

2019An empirical comparison of classification techniques for next event prediction using business process event logs