Online Learning for Network Traffic Data Classification

Wei Chen Hsi, Chung Hao Wu, Henry Horng Shing Lu

研究成果: Conference contribution同行評審

摘要

Based on an online-learning algorithm, we usually can create a dynamic prediction model and transform a linear model into a non-linear one using kernel functions. This study derives a new online-learning algorithm by combining the popular online-learning algorithm, Passive-Aggressive algorithm, with kernels and the concept of budget. The new algorithm creates a non-linear model and manages the resources used by the model. The proposed algorithm is tested on the network traffic data and shows its potentials for IoT applications.

原文English
主出版物標題2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665433280
DOIs
出版狀態Published - 2021
事件8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan
持續時間: 15 9月 202117 9月 2021

出版系列

名字2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

Conference

Conference8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
國家/地區Taiwan
城市Penghu
期間15/09/2117/09/21

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