Network Traffic Prediction Using PSO-LightGBM- TM-Reference-Cited by-同舟云学术

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Network Traffic Prediction Using PSO-LightGBM- TM

Published:2024-05-20 Issue: Volume:1 Page:1-6
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Li Feng¹,Nie Wei¹,Lam Kwok-Yan²,Shen Bowen²,Li Xiuhua³

Affiliation:

1. School of Information and Electronic Engineering, Zhejiang Gongshang University,Hangzhou,China

2. School of Computer Science and Engineering, Nanyang Technological University,Singapore

3. School of Big Data & Software Engineering, Chongqing University,Chongqing,China

Funder

National Research Foundation, Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620660/10620661/10620828.pdf?arnumber=10620828

Reference22 articles.

1. Internet traffic matrices: A primer;Tune;Recent Advances In Networking,2013

2. Internet Traffic Mid-term Forecasting: A Pragmatic Approach Using Statistical Analysis Tools

3. Do we really need deep learning models for time series forecasting?;Elsayed;ArXiv Preprint,2021

4. A Prediction Method of Network Traffic Using Time Series Models

5. Identification and Prediction of Internet Traffic Using Artificial Neural Networks

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