Unsupervised Learning for Log Data Analysis Based on Behavior and Attribute Features
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Nature Science Foundation of China
basic research business fee
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3349341.3349460
Reference20 articles.
1. Extracting useful knowledge from event logs: A frequent itemset mining approach
2. Metric selection and anomaly detection for cloud operations using log and metric correlation analysis
3. Contextual anomaly detection for a critical industrial system based on logs and metrics
4. Towards Automated Log Parsing for Large-Scale Log Data Analysis
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