An Efficient Architecture for Imputing Distributed Data Sets of IoT Networks-Reference-Cited by-同舟云学术

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An Efficient Architecture for Imputing Distributed Data Sets of IoT Networks

Published:2023-09-01 Issue:17 Volume:10 Page:15100-15114
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Li Liying¹^ORCID,Wang Yinghui²,Wang Haizhou²,Hu Shiyan³^ORCID,Wei Tongquan²^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. Department of Computer Science and Technology, East China Normal University, Shanghai, China

3. School of Electronics and Computer Science, University of Southampton, Southampton, U.K.

Funder

NSFC

Shanghai Municipal Science and Technology Major Project

Shanghai Trusted Industry Internet Software Collaborative Innovation Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10227658/10092917.pdf?arnumber=10092917

Reference47 articles.

1. Proper imputation techniques for missing values in data sets;aljuaid;Proc Int Conf Data Engineering,2017

2. Generative adversarial networks

3. Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

4. Comparison of Linear Interpolation Method and Mean Method to Replace the Missing Values in Environmental Data Set

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