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Efficient Discovery of Compact Maximal Behavioral Patterns from Event Logs · Study

WorkEfficient Discovery of Compact Maximal Behavioral Patterns from Event Logs

Mehdi Acheli2019

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Workgreen2019

Efficient Discovery of Compact Maximal Behavioral Patterns from Event Logs

Mehdi Acheli · Daniela Grigori · Matthias Weidlich

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

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Business Process Modeling and Analysis Data Mining Algorithms and Applications Petri Nets in System Modeling

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References

2016Process Mining 2005The ProM Framework: A New Era in Process Mining Tool Support 2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics 2016Process Mining: Data Science in Action 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach 2011Flexible Heuristics Miner (FHM)2018Automated Discovery of Process Models from Event Logs: Review and Benchmark 2009Trace Clustering in Process Mining

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2021Discovering and Analyzing Contextual Behavioral Patterns From Event Logs

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2021Discovering and Analyzing Contextual Behavioral Patterns From Event Logsarticle · 16 shared references 2018Discovering more precise process models from event logs by filtering out chaotic activitiesarticle · 8 shared references 2017Mining Process Model Descriptions of Daily Life Through Event Abstractionother · 8 shared references 2018Indulpet Miner: Combining Discovery Algorithmsother · 8 shared references 2020A process mining methodology for modeling unstructured processesarticle · 8 shared references 2019Understanding Automated Feedback in Learning Processes by Mining Local Patternsother · 8 shared references

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Year2019

Typeother

Published2019-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations16

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-030-21290-2_36

openalex_workW2947660102

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