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Selecting Optimal Trace Clustering Pipelines with Meta-learning · Study

WorkSelecting Optimal Trace Clustering Pipelines with Meta-learning

Gabriel Marques Tavares2022

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Workgreen2022

Selecting Optimal Trace Clustering Pipelines with Meta-learning

Gabriel Marques Tavares · Sylvio Barbon · Ernesto Damiani · Paolo Ceravolo

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

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Business Process Modeling and Analysis Data Mining Algorithms and Applications Time Series Analysis and Forecasting

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References

2004Workflow mining: discovering process models from event logs 2009Trace Clustering in Process Mining 2006Discovering expressive process models by clustering log traces 2009Context Aware Trace Clustering: Towards Improving Process Mining Results 2015A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs 2013Active Trace Clustering for Improved Process Discovery 2018Time and activity sequence prediction of business process instances 2008Process Mining Based on Clustering: A Quest for Precision

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2023Using Process Mining to Reduce Fraud in Digital Onboarding 2023Discovery of process variants based on trace context tree

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2024Machine learning in business process management: A systematic literature reviewreview · 6 shared references 2020A Generic Framework for Trace Clustering in Process Miningother · 6 shared references 2016Explaining clusterings of process instancesarticle · 6 shared references 2019A Profile Clustering Based Event Logs Repairing Approach for Process Miningarticle · 6 shared references 2021Learning of Process Representations Using Recurrent Neural Networksother · 6 shared references 2021A New Methodology to Bring Out Typical Users Interactions in Digital Librariesother · 6 shared references

Details

Year2022

Typeother

Published2022-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations9

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-031-21686-2_11

openalex_workW4312411990

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