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Online System Problem Detection by Mining Patterns of Console Logs
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Breadth-First Algorithm for Mining Frequent Patterns from Event Logs
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Mining sequential patterns: Generalizations and performance improvements
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Frequent pattern mining: current status and future directions
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SPADE: An Efficient Algorithm for Mining Frequent Sequences
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Control Procedures for Residuals Associated With Principal Component Analysis
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Towards informatic analysis of syslogs
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Pinpoint: problem determination in large, dynamic Internet services
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Mining partially periodic event patterns with unknown periods
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PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth
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A data clustering algorithm for mining patterns from event logs
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Power-Law Distributions in Empirical Data
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Diagnosing network-wide traffic anomalies
inferredcites →https://doi.org/10.1145/1080091.1080112openalex-snapshot
Profiling internet backbone traffic
inferredcites →https://doi.org/10.1145/1081870.1081927openalex-snapshot
Dynamic syslog mining for network failure monitoring
inferredcites →https://doi.org/10.1145/1090191.1080112openalex-snapshot
Profiling internet backbone traffic
inferredcites →https://doi.org/10.1145/1363686.1363890openalex-snapshot
Frequent pattern mining for kernel trace data
inferredcites →https://doi.org/10.1145/1629575.1629587openalex-snapshot
Detecting large-scale system problems by mining console logs
inferredcites →https://doi.org/10.1145/316194.316229openalex-snapshot
On power-law relationships of the Internet topology
inferredcites →https://doi.org/10.1147/sj.413.0475openalex-snapshot
Discovering actionable patterns in event data
inferredcites →https://doi.org/10.1184/r1/6586835.v1openalex-snapshot
Power-law distributions in empirical data
inferredcites →https://doi.org/10.2307/1401615openalex-snapshot
Handbook of Methods of Applied Statistics
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Handbook of Methods of Applied Statistics.
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Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Recompose Event Sequences vs. Predict Next Events: A Novel Anomaly Detection Approach for Discrete Event Logs
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Predicting Performance Anomalies in Software Systems at Run-time
inferred← citeshttps://doi.org/10.1145/3460345openalex-snapshot
A Survey on Automated Log Analysis for Reliability Engineering
inferred← citeshttps://doi.org/10.1145/3468264.3473933openalex-snapshot
An empirical investigation of practical log anomaly detection for online service systems
inferred← citeshttps://doi.org/10.1145/3514221.3517861openalex-snapshot
Unsupervised Contextual Anomaly Detection for Database Systems
inferred← citeshttps://doi.org/10.1145/3540250.3558947openalex-snapshot
Investigating and improving log parsing in practice
inferred← citeshttps://doi.org/10.1145/3564625.3567972openalex-snapshot
MADDC: Multi-Scale Anomaly Detection, Diagnosis and Correction for Discrete Event Logs
inferred← citeshttps://doi.org/10.1145/3579370.3594770openalex-snapshot
Anomaly Detection on IBM Z Mainframes: Performance Analysis and More
inferred← citeshttps://doi.org/10.1145/3624740openalex-snapshot
LoGenText-Plus : Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates
inferred← citeshttps://doi.org/10.1145/3626520openalex-snapshot
Rare Category Analysis for Complex Data: A Review
inferred← citeshttps://doi.org/10.1145/3660768openalex-snapshot
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques
inferred← citeshttps://doi.org/10.1145/3771283openalex-snapshot
LLM Meets ML: Data-efficient Anomaly Detection on Unstable Logs
inferred← citeshttps://doi.org/10.1147/jrd.2016.2572462openalex-snapshot
Security intelligence for cloud management infrastructures
inferred← citeshttps://doi.org/10.1147/jrd.2017.2648298openalex-snapshot
Predictive maintenance based on event-log analysis: A case study
inferred← citeshttps://doi.org/10.1155/2023/3777826openalex-snapshot
LogBASA: Log Anomaly Detection Based on System Behavior Analysis and Global Semantic Awareness
inferred← citeshttps://doi.org/10.1177/1094342013488258openalex-snapshot
Failure prediction for HPC systems and applications
inferred← citeshttps://doi.org/10.1186/s42400-026-00573-8openalex-snapshot
LogLAA: an adaptive integrated log anomaly analysis framework
inferred← citeshttps://doi.org/10.1587/transcom.2018ebp3103openalex-snapshot
Proactive Failure Detection Learning Generation Patterns of Large-Scale Network Logs
inferred← citeshttps://doi.org/10.22161/ijaems.910.2openalex-snapshot
Deep Learning Neural Networks in the Cloud
inferred← citeshttps://doi.org/10.25148/etd.fi14071115openalex-snapshot
Event Mining for System and Service Management
inferred← citeshttps://doi.org/10.26076/0567-4901openalex-snapshot
LogBERT: Log Anomaly Detection via BERT
inferred← citeshttps://doi.org/10.26686/wgtn.16993609openalex-snapshot
Improving Salience Retention and Identification in the Automated Filtering of Event Log Messages
inferred← citeshttps://doi.org/10.26686/wgtn.16993609.v1openalex-snapshot
Improving Salience Retention and Identification in the Automated Filtering of Event Log Messages
inferred← citeshttps://doi.org/10.3103/s0147688224700254openalex-snapshot
Machine Learning Methods of Intelligent System Event Analysis for Multistep Cyberattack Detection
inferred← citeshttps://doi.org/10.31979/etd.h4j5-8ctjopenalex-snapshot
Intelligent Log Analysis for Anomaly Detection
inferred← citeshttps://doi.org/10.32604/csse.2021.014030openalex-snapshot
A Generative Adversarial Networks for Log Anomaly Detection
inferred← citeshttps://doi.org/10.32628/ijsrst25121450openalex-snapshot
AI-Native Infrastructure for the Autonomous Enterprise: Advancing Self-Optimizing Database, Big Data, and Cloud Ecosystems
inferred← citeshttps://doi.org/10.3390/computers15050273openalex-snapshot
A GNN-Based Log Anomaly Detection Framework with Prompt Learning for Edge Computing
inferred← citeshttps://doi.org/10.3390/electronics15040806openalex-snapshot
BERT-LogAnom: Enhancing Log Anomaly Detection with Gated Residual BiLSTM and Dynamic Thresholding
inferred← citeshttps://doi.org/10.3390/electronics9020232openalex-snapshot
System Log Detection Model Based on Conformal Prediction
inferred← citeshttps://doi.org/10.3390/su11226306openalex-snapshot
Priolog: Mining Important Logs via Temporal Analysis and Prioritization
inferred← citeshttps://doi.org/10.3390/sym14030454openalex-snapshot
LogLS: Research on System Log Anomaly Detection Method Based on Dual LSTM
inferred← citeshttps://doi.org/10.4018/978-1-4666-8496-6.ch007openalex-snapshot
Tuning up IT Services using Monitoring Configuration Analytics
inferred← citeshttps://doi.org/10.48084/etasr.6013openalex-snapshot
HCLPars: Α New Hierarchical Clustering Log Parsing Method
inferred← citeshttps://doi.org/10.48550/arxiv.1203.6400openalex-snapshot
PerfXplain: Debugging MapReduce Job Performance
inferred← citeshttps://doi.org/10.48550/arxiv.2110.15473openalex-snapshot
AWSOM-LP: An Effective Log Parsing Technique Using Pattern Recognition and Frequency Analysis
inferred← citeshttps://doi.org/10.70675/ed5ee972zb50cz4f6bz8bcazc53a6f3b58f1openalex-snapshot
Automated Log-Based Anomaly Detection within Cloud Computing Infrastructures
inferred← citeshttps://doi.org/10.71548/18895openalex-snapshot
The Log Analysis in an Automatic Approach
inferred← citeshttps://doi.org/10.7287/peerj-cs.489v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Log-based software monitoring: a systematic mapping study (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.489v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Log-based software monitoring: a systematic mapping study (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.489v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Log-based software monitoring: a systematic mapping study (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.489v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Log-based software monitoring: a systematic mapping study (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.489openalex-snapshot
Log-based software monitoring: a systematic mapping study
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.