Network performance evaluation using Naïve Bayes machine learning algorithm
- Author
- Masunda, Munashe.
- Title
- Network performance evaluation using Naïve Bayes machine learning algorithm
- Abstract
-
In response to the inadequacies of traditional evaluation methods, which struggle to adapt to the dynamic and complex nature of contemporary computer networks, this study seeks to leverage the predictive and adaptive capabilities of Naïve Bayes. The primary goal is to develop a more sophisticated and data-driven approach that can effectively analyze network behavior, predict anomalies, and optimize resource allocation in real-time. By addressing the limitations of current methodologies, the research aims to contribute to the evolution of network management practices, ultimately fostering more resilient, efficient, and secure computer networks that align with the demands of the modern digital landscape
- Date
- June 2024
- Publisher
- BUSE
- Keywords
- Computer networks,
- Predictive and adaptive capabilities of Naïve Bayes.
- Supervisor
- Mr. Matombo,
- Item sets
- Department of Computer Science
- Media
-
Munashe Masunda
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