Classification of Fake News on Facebook a Novel Social Network with K-Means Clustering Approach for Against Principal Component Analysis Method for Better Accuracy-Reference-Cited by-同舟云学术

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Classification of Fake News on Facebook a Novel Social Network with K-Means Clustering Approach for Against Principal Component Analysis Method for Better Accuracy

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Nomesh. R.¹,Saravanan M.S.¹

Affiliation:

1. Saveetha University,Saveetha School Of Engineering,Department Of Computer Science And Engineering,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951706/9951861/09952063.pdf?arnumber=9952063

Reference33 articles.

1. Supervised Learning for Fake News Detection

2. Detecting Fake News on Social Media

3. Syringic acid triggers reactive oxygen species–mediated cytotoxicity in HepG2 cells

Cited by 2 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. Effects of User Behavior in the Propagation of Fake News on Social Media;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

2. Enhancing Fake News Detection through Clustering with Convolutional Neural Networks;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

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