A Systematic and Comprehensive Study on Machine Learning and Deep Learning Models in Web Traffic Prediction

J Trivedi, M Shah - Archives of Computational Methods in Engineering, 2024 - Springer
The practice of predicting the traffic that is headed toward a specific website is known as
web traffic prediction. To govern a network, network traffic forecasting is crucial. Since clients …

Website Traffic Forecasting Using Deep Learning Techniques

H Nunnagoppula, K Katragadda… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
Today, predicting website traffic is a huge concern since it could influence the operation of
critical websites. With more people visiting the website, it can crash or load very slowly. Such …

A hybrid approach for web traffic prediction using deep learning algorithms

A Prasanth, P Surendran, D John… - 2022 9th International …, 2022 - ieeexplore.ieee.org
The web traffic is a time series action and it is having its peak and low. Even though it can be
predicted in different ways but as when we use the fastest growing time series databases …

Research on website traffic prediction method based on deep learning

R Bao, K Zhang, J Huang, Y Li, W Liu… - … Conference on Simulation …, 2021 - Springer
Accurate prediction of website traffic can improve network management, improve service
quality, and improve the end user experience. Using the neural network learning and …

Computer network traffic prediction: a comparison between traditional and deep learning neural networks

TP Oliveira, JS Barbar… - International Journal of …, 2016 - inderscienceonline.com
This paper compares four different artificial neural network approaches for computer network
traffic forecast, such as: 1) multilayer perceptron (MLP) using the backpropagation as …

Web traffic prediction using Autoregressive, LSTM, and XGBoost time series models

J Telo - Applied Research in Artificial Intelligence and Cloud …, 2020 - researchberg.com
Web traffic is vital to the success of any online company or website in the current era of
digital technology. Insightful marketing, web development, and resource allocation choices …

Multilayer perceptron and stacked autoencoder for Internet traffic prediction

TP Oliveira, JS Barbar, AS Soares - … and Parallel Computing: 11th IFIP WG …, 2014 - Springer
Internet traffic prediction is an important task for many applications, such as adaptive
applications, congestion control, admission control, anomaly detection and bandwidth …

Deep Learning-based Hybrid Technique for Forecasting Web Traffic

A Mahanand, P Prakash… - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
Web traffic is a kind of time-series motion, having its highs and lows. The analysis of
predicting web traffic has a greater significance for website owners, to make reliable …

A novel neural computing model for fast predicting network traffic

Q Liu, W Cai, J Shen, Z Fu… - Journal of Computational …, 2015 - ingentaconnect.com
Currently existing web traffic prediction models have the shortages of low accuracy, low
stability and slow training speed. Aiming at such problems, this paper proposes a new …

[PDF][PDF] Applying machine learning approaches for network traffic forecasting

S Prajam, C Wechtaisong, AA Khan - Indian Journal of Computer Science …, 2022 - ijcse.com
In the era of the digital world. The communication and the use the internet is an important
role in today's society. As a result, the number of users networks traffic increases but not …