@inproceedings{1bea42de75e04a34864dcaba96e6a315,
title = "Online Learning for Network Traffic Data Classification",
abstract = "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. ",
author = "Hsi, {Wei Chen} and Wu, {Chung Hao} and Lu, {Henry Horng Shing}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; null ; Conference date: 15-09-2021 Through 17-09-2021",
year = "2021",
doi = "10.1109/ICCE-TW52618.2021.9602977",
language = "English",
series = "2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021",
address = "United States",
}