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1
An Effective Assessment of Machine Learning Approaches for ..:
, In:
2024 International Conference on Inventive Computation Technologies (ICICT)
,
Asha, V.
;
Nirmala, A. P
;
Raj, A Arvind
... - p. 169-174 , 2024
Link:
https://doi.org/10.1109/ICICT60155.2024.10544858
RT T1 <cTitle>2024 International Conference on Inventive Computation Technologies (ICICT)</cTitle>: T1 <Title>An Effective Assessment of Machine Learning Approaches for Fake News Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544858&Exemplar=1&LAN=DE A1 Asha, V. A1 Nirmala, A. P A1 Raj, A Arvind A1 Yadav, Akash A1 Sen, Abhijit A1 Rajan, Abhinav YR 2024 SN 2767-7788 K1 Machine learning algorithms K1 Social networking (online) K1 Shape K1 Forestry K1 Real-time systems K1 Classification algorithms K1 Reliability K1 False news K1 Social media platforms K1 Random forest K1 Naive Bayes K1 Logistic Regression K1 Classification accuracy SP 169 OP 174 LK http://dx.doi.org/https://doi.org/10.1109/ICICT60155.2024.10544858 DO https://doi.org/10.1109/ICICT60155.2024.10544858 SF ELIB - SuUB Bremen
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