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Title: GitHub - StruggleForCode/logparser: A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Open Graph Title: GitHub - StruggleForCode/logparser: A machine learning toolkit for log parsing [ICSE'19, DSN'16]

X Title: GitHub - StruggleForCode/logparser: A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Description: A machine learning toolkit for log parsing [ICSE'19, DSN'16] - StruggleForCode/logparser

Open Graph Description: A machine learning toolkit for log parsing [ICSE'19, DSN'16] - StruggleForCode/logparser

X Description: A machine learning toolkit for log parsing [ICSE'19, DSN'16] - StruggleForCode/logparser

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#PR85https://github.com/logpai/logparser/pull/85
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#PR80https://github.com/logpai/logparser/pull/80
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https://patch-diff.githubusercontent.com/StruggleForCode/logparser#log-parsers-available
SLCThttps://github.com/logpai/logparser/tree/main/logparser/SLCT#slct
A Data Clustering Algorithm for Mining Patterns from Event Logshttps://ristov.github.io/publications/slct-ipom03-web.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/SLCT#benchmark
AELhttps://github.com/logpai/logparser/tree/main/logparser/AEL#ael
Abstracting Execution Logs to Execution Events for Enterprise Applicationshttps://www.researchgate.net/publication/4366728_Abstracting_Execution_Logs_to_Execution_Events_for_Enterprise_Applications_Short_Paper
↗️https://github.com/logpai/logparser/tree/main/logparser/AEL#benchmark
IPLoMhttps://github.com/logpai/logparser/tree/main/logparser/IPLoM#iplom
Clustering Event Logs Using Iterative Partitioninghttps://web.cs.dal.ca/~makanju/publications/paper/kdd09.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/IPLoM#benchmark
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Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysishttps://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/DM790-CR.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/LKE#benchmark
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Abstracting Log Lines to Log Event Types for Mining Software System Logshttp://www.se.rit.edu/~mei/publications/pdfs/Abstracting-Log-Lines-to-Log-Event-Types-for-Mining-Software-System-Logs.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/LFA#benchmark
LogSighttps://github.com/logpai/logparser/tree/main/logparser/LogSig#logsig
LogSig: Generating System Events from Raw Textual Logshttps://users.cs.fiu.edu/~taoli/pub/liang-cikm2011.pdf
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Incremental Mining of System Log Formathttp://ieeexplore.ieee.org/document/6649746/
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LogCluster - A Data Clustering and Pattern Mining Algorithm for Event Logshttp://dl.ifip.org/db/conf/cnsm/cnsm2015/1570161213.pdf
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LenMahttps://github.com/logpai/logparser/tree/main/logparser/LenMa#lenma
Length Matters: Clustering System Log Messages using Length of Wordshttps://arxiv.org/pdf/1611.03213.pdf
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LogMinehttps://github.com/logpai/logparser/tree/main/logparser/LogMine#logmine
LogMine: Fast Pattern Recognition for Log Analyticshttp://www.cs.unm.edu/~mueen/Papers/LogMine.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/LogMine#benchmark
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Spell: Streaming Parsing of System Event Logshttps://www.cs.utah.edu/~lifeifei/papers/spell.pdf
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Drain: An Online Log Parsing Approach with Fixed Depth Treehttps://jiemingzhu.github.io/pub/pjhe_icws2017.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/Drain#benchmark
MoLFIhttps://github.com/logpai/logparser/tree/main/logparser/MoLFI#molfi
A Search-based Approach for Accurate Identification of Log Message Formatshttp://publications.uni.lu/bitstream/10993/35286/1/ICPC-2018.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/MoLFI#benchmark
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Logram: Efficient Log Parsing Using n-Gram Dictionarieshttps://arxiv.org/pdf/2001.03038.pdf
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Self-Supervised Log Parsinghttps://arxiv.org/abs/2003.07905
↗️https://github.com/logpai/logparser/tree/main/logparser/NuLog#benchmark
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An Effective Approach for Parsing Large Log Fileshttps://users.encs.concordia.ca/~abdelw/papers/ICSME2022_ULP.pdf
↗️https://github.com/logpai/logparser/tree/main/logparser/ULP#benchmark
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Brain: Log Parsing with Bidirectional Parallel Treehttps://ieeexplore.ieee.org/abstract/document/10109145
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DivLog: Log Parsing with Prompt Enhanced In-Context Learninghttps://doi.org/10.1145/3597503.3639155
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loghub_2k datasetshttps://github.com/logpai/logparser/tree/main/data#loghub_2k
other benchmark datasets for log parsinghttps://github.com/logpai/logparser/tree/main/data#datasets
https://github.com/logpai/logparser/tree/main/logparser/Drain#benchmarkhttps://github.com/logpai/logparser/tree/main/logparser/Drain#benchmark
example/parse_your_own_logs.pyhttps://github.com/logpai/logparser/blob/main/example/parse_your_own_logs.py
HDFS_2k.log_templates.csvhttps://github.com/logpai/logparser/blob/main/logparser/Drain/demo_result/HDFS_2k.log_templates.csv
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https://patch-diff.githubusercontent.com/StruggleForCode/logparser#production-use
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https://patch-diff.githubusercontent.com/StruggleForCode/logparser#-citation
Tools and Benchmarks for Automated Log Parsinghttps://arxiv.org/pdf/1811.03509.pdf
An Evaluation Study on Log Parsing and Its Use in Log Mininghttps://jiemingzhu.github.io/pub/pjhe_dsn2016.pdf
https://patch-diff.githubusercontent.com/StruggleForCode/logparser#-contributors
Pinjia He https://github.com/PinjiaHe
Zhujiem https://github.com/zhujiem
LIU, Jinyang https://github.com/JinYang88
Junjielong Xu https://github.com/Siyuexi
Shilin HE https://github.com/ShilinHe
Joseph Hit Hard https://github.com/JoeHitHard
Rustam Temirov https://github.com/rustamtemirov
Siyu Yu (Youth Yu) https://github.com/gaiusyu
Thomas Ryckeboer https://github.com/thomasryck
Isuru Boyagane https://github.com/IsuruBoyagane15
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