awesome-log-analysis
github.com/logpai/awesome-log-analysis ↗A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps
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ResearchersConferences and JournalsPapers
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me log mining resources from awesome-log-analysis"
Installation instructions →What's inside
Papers
- Aarohi: Making real-time node failure prediction feasibleLog Mining
- Abstracting Execution Logs to Execution Events for Enterprise ApplicationsLog Parsing
- Abstracting Log Lines to Log Event Types for Mining Software System LogsLog Parsing
- Adaptive log compression for massive log dataLog Compression
- A data clustering algorithm for mining patterns from event logsLog Mining
- A Data Clustering Algorithm for Mining Patterns from Event LogsLog Parsing
Researchers
- Ding Yuan
Ahmed E. Hassan , Queen's University
- Ingo Weber
- Michael R. Lyu
Dongmei Zhang , Microsoft
- Pinjia He
- Wahab Hamou-Lhadj
- Yuanyuan Zhou
Tao Xie , UIUC
Showing a sample of 166 resources. View the full list on GitHub →