Social Spammer Detection Based on Semi-Supervised Learning

https://hdl.handle.net/10536/DRO/DU:30167261
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conference contribution

posted on 2021-01-01, 00:00 authored by X Zhang, Frank JiangFrank Jiang, Ran ZhangRan Zhang, S Li, Y Zhou

Social Spammer Detection Based on Semi-Supervised Learning

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DOI - Is version of https://doi.org/10.1109/TrustCom53373.2021.00120

Location

Shenyang, China

Language

eng

Publication classification

E1 Full written paper - refereed

Pagination

849 - 855

Start date

2021-10-20

End date

2021-10-22

ISSN

2324-898X

eISSN

2324-9013

ISBN-13

9781665416580

Title of proceedings

TrustCom 2021 : Proceedings of the 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications

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Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Theory & Methods Telecommunications Computer Science social media spammer detection semi-supervised CatBoost

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All Rights Reserved

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