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...

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Bibliographic Details

Published in:	Discrete and continuous models and applied computational science Vol. 33; no. 2; pp. 172 - 183
Main Authors:	Kiriachek, Vladislav A., Salpagarov, Soltan I.
Format:	Journal Article
Language:	English
Published:	Peoples’ Friendship University of Russia (RUDN University) 15.07.2025
Subjects:	anomaly detection log analysis machine learning natural language processing predictive diagnostics
ISSN:	2658-4670, 2658-7149
Online Access:	Get full text
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