Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Predicting the inherent traffic behaviour of a network is an essential task, which can be used
for various purposes, such as monitoring and managing the network's infrastructure …

The increasing usage of internet requires a significant system for effective communication.
To pro-vide an effective communication for the internet users, based on nature of their …

This research associates three distinct approaches for computer network traffic prediction.
They are the traditional stochastic gradient descent (SGD) using a few random samplings …

Internet traffic forecasting models with learning ability, such as the artificial neural network
(ANN), have been growing in popularity in recent time due to their impressive performance …

This paper proposed a data driven, machine learning traffic modelling approach for
estimating required bandwidth during telecommunication planning for good quality service …

In the current study we present a monitoring of the MHT network system by DUDe. The
administrators are constantly striving to maintain smooth operation of their networks. The …

Network traffic prediction for academic organizations is essential to managing and selecting
the best routing path. Since overload traffic is a major problem that delays data transmission …

En las últimas décadas, los desarrollos de la computación han generado una serie de
espacios, herramientas y contenidos buscando transformar el entorno social y económico a …

The important factor of management of network systems in educational institutes is to
forecast the network traffics so as to support the optimal traffic route service and selection …