Redundancy evaluation method of massive heterogeneous data in Internet of Things based on attributes and relations-Reference-Cited by-同舟云学术

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Redundancy evaluation method of massive heterogeneous data in Internet of Things based on attributes and relations

Published:2020-06-03 Issue:2 Volume:18 Page:167-177
ISSN:2405-6464
Container-title:Web Intelligence
language:
Short-container-title:WEB

Author:

Li Ying¹

Affiliation:

1. School of Information Engineering, Jiaozuo University, Jiaozuo 454000, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference21 articles.

1. A sliding blocking algorithm with regression-checking for duplicate data detection;Bian;Journal of Xinjiang University (Natural Science Edition),2017

2. Approximately data detecting method based on fusion of information entropy and fuzzy integrated evaluation;Chen;Computer Engineering and Applications,2018

3. Efficient multicast delivery for data redundancy minimization over wireless data centers;Chuang;IEEE Transactions on Emerging Topics in Computing,2017

4. Mechanism of eliminating UDP redundancy control packets in OpenFlow network;Hu;Journal on Communications,2017

5. Approximate Gibbs algorithm for blind data detection in two-way relay networks;Jiang;IET Communications,2017

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. Special issue on big data networking-challenges and applications;Web Intelligence;2020-06-03

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