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The Use of Template Miners and Encryption in Log Message Compression
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-58108-1_24openalex-snapshot
Description of a new variable-length key, 64-bit block cipher (Blowfish)
inferredcites →https://doi.org/10.1007/978-3-030-20893-6_39openalex-snapshot
GANomaly: Semi-supervised Anomaly Detection via Adversarial Training
inferredcites →https://doi.org/10.1007/978-3-319-11164-3_4openalex-snapshot
Scalable Offline Monitoring
inferredcites →https://doi.org/10.1007/978-3-319-74521-3_9openalex-snapshot
A Method of Large - Scale Log Pattern Mining
inferredcites →https://doi.org/10.1007/978-3-642-05445-7_19openalex-snapshot
Format-Preserving Encryption
inferredcites →https://doi.org/10.1007/978-3-662-46578-3_53openalex-snapshot
Anomaly Detection from Log Files Using Data Mining Techniques
inferredcites →https://doi.org/10.1007/s10664-020-09822-xopenalex-snapshot
A study of the performance of general compressors on log files
inferredcites →https://doi.org/10.1016/j.dss.2004.11.012openalex-snapshot
An e-customer behavior model with online analytical mining for internet marketing planning
inferredcites →https://doi.org/10.1109/access.2018.2886457openalex-snapshot
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series
inferredcites →https://doi.org/10.1109/ase.2019.00085openalex-snapshot
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
inferredcites →https://doi.org/10.1109/dsn.2016.66openalex-snapshot
An Evaluation Study on Log Parsing and Its Use in Log Mining
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013957openalex-snapshot
Lossless Compression of Time Series Data with Generalized Deduplication
inferredcites →https://doi.org/10.1109/icdm.2016.0103openalex-snapshot
Spell: Streaming Parsing of System Event Logs
inferredcites →https://doi.org/10.1109/icse-seip.2019.00021openalex-snapshot
Tools and Benchmarks for Automated Log Parsing
inferredcites →https://doi.org/10.1109/icws.2017.13openalex-snapshot
Drain: An Online Log Parsing Approach with Fixed Depth Tree
inferredcites →https://doi.org/10.1109/isit.2019.8849224openalex-snapshot
Time-universal data compression and prediction
inferredcites →https://doi.org/10.1109/issre59848.2023.00071openalex-snapshot
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
inferredcites →https://doi.org/10.1109/tkde.2007.44openalex-snapshot
K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods
inferredcites →https://doi.org/10.1109/tkde.2011.138openalex-snapshot
A Lightweight Algorithm for Message Type Extraction in System Application Logs
inferredcites →https://doi.org/10.1109/tse.2021.3069958openalex-snapshot
Improving State-of-the-Art Compression Techniques for Log Management Tools
inferredcites →https://doi.org/10.1145/1368088.1379445openalex-snapshot
An Industrial Case Study of Customizing Operational Profiles Using Log Compression
inferredcites →https://doi.org/10.1145/1458502.1458524openalex-snapshot
Personalized ranking for digital libraries based on log analysis
inferredcites →https://doi.org/10.1145/1723028.1723031openalex-snapshot
Diagnosis of recurrent faults using log files
inferredcites →https://doi.org/10.1145/3196321.3196340openalex-snapshot
A search-based approach for accurate identification of log message formats
inferredcites →https://doi.org/10.1145/3460345openalex-snapshot
A Survey on Automated Log Analysis for Reliability Engineering
inferredcites →https://doi.org/10.23919/softcom.2017.8115527openalex-snapshot
Efficient lossless compression of CAN traffic logs
inferredcites →https://doi.org/10.48550/arxiv.1611.03213openalex-snapshot
Length Matters: Clustering System Log Messages using Length of Words
inferredcites →https://doi.org/10.48550/arxiv.1904.13389openalex-snapshot
Categorical Feature Compression via Submodular Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4673515openalex-extracted
What Do Developers Discuss About Software Monitoring in Stack Overflow? A Case Study on Prometheus
inferred← citeshttps://doi.org/10.1007/s10664-024-10452-wopenalex-snapshot
A literature review and existing challenges on software logging practices
inferred← citeshttps://doi.org/10.1109/access.2022.3221427openalex-snapshot
A Heuristic Approach Using Template Miners for Error Prediction in Telecommunication Networks
inferred← citeshttps://doi.org/10.1109/conit61985.2024.10627320openalex-snapshot
Safeguarding Log Data Integrity: Employing DES Encryption Against Manipulation Attempts
inferred← citeshttps://doi.org/10.1109/nas63802.2024.10781362openalex-snapshot
OCSL: An Online Compression Scheme for Streaming Semi-Structured Logs
inferred← citeshttps://doi.org/10.33140/eoa.01.02.02openalex-snapshot
A Data Centric Approach Towards Server Time Series Model Compression
inferred← citeshttps://doi.org/10.3390/app12042044openalex-snapshot
A Novel Dictionary-Based Method to Compress Log Files with Different Message Frequency Distributions
inferred← citeshttps://doi.org/10.36227/techrxiv.24590904openalex-snapshot
A Data Centric Approach Towards Server Time Series Model Compression
inferred← citeshttps://doi.org/10.36227/techrxiv.24590904.v1openalex-snapshot
A Data Centric Approach Towards Server Time Series Model Compression
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