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Metaheuristic Optimization for Automated Business Process Discovery · Study

WorkMetaheuristic Optimization for Automated Business Process Discovery

Adriano Augusto2019

OA

Workgreen2019

Metaheuristic Optimization for Automated Business Process Discovery

Adriano Augusto · Marlon Dumas · Marcello La Rosa

12 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

2016Process Mining 2016Process Mining: Data Science in Action 2011Flexible Heuristics Miner (FHM)2007Genetic process mining: an experimental evaluation 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour 2018Automated Discovery of Process Models from Event Logs: Review and Benchmark 2011Conformance Checking Using Cost-Based Fitness Analysis 2012On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery

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2020Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approacharticle · 10 shared references 2018Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logsother · 9 shared references 2022The connection between process complexity of event sequences and models discovered by process miningarticle · 9 shared references 2023Event-case correlation for process mining using probabilistic optimizationarticle · 9 shared references 2019Stage-based discovery of business process models from event logsarticle · 9 shared references 2018Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discoveryother · 9 shared references

Details

Year2019

Typeother

Published2019-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations12

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-030-26619-6_18

openalex_workW2969630266

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