Predictive diagnostics of computer systems logs using natural language processing techniques
This study aims to develop and validate a method for predictive diagnostics and anomaly detection in computer system logs, using the Vertica database as a case study. The proposed approach is based on semisupervised learning combined with natural language processing techniques. A specialized parser...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Peoples’ Friendship University of Russia (RUDN University)
2025-07-01
|
| Series: | Discrete and Continuous Models and Applied Computational Science |
| Subjects: | |
| Online Access: | https://journals.rudn.ru/miph/article/viewFile/45255/25141 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|