Online Feature Selection for Efficient Learning in Networked Systems-Reference-Cited by-同舟云学术

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Online Feature Selection for Efficient Learning in Networked Systems

Published:2022-09 Issue:3 Volume:19 Page:2885-2898
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Wang Xiaoxuan¹^ORCID,Stadler Rolf¹^ORCID

Affiliation:

1. Department of Computer Science, Digital Futures, KTH Royal Institute of Technology, Stockholm, Sweden

Funder

Swedish Governmental Agency for Innovation Systems, VINNOVA, through projects AutoDC and ANIARA, as well as by Digital Futures through project Democritus

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/9917435/09790320.pdf?arnumber=9790320

Reference50 articles.

1. A review of unsupervised feature selection methods

2. Feature Selection

3. On botnet detection with genetic programming under streaming data label budgets and class imbalance

4. Random sampling with a reservoir

5. Learning Parameter Distributions to Detect Concept Drift in Data Streams

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed and Adaptive Workload Prediction for In-Network Computing;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

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