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The effect of Kernel functions on cryptocurrency prediction using support vector machines

Forecastinginthefinancialsectorhasproventobeahighlyimportant area of study in the science of Computational Intelligence (CI). Furthermore, the availability of social media platforms contributes to the advancement of SVM research and the selection of SVM parameters. Using SVM kernel functions, this s...

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Bibliographic Details
Main Authors: Hitam, Nor Azizah, Ismail, Amelia Ritahani, Samsuddin, Ruhaidah, Alkhammash, Eman H.
Format: Book Chapter
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/98900/7/98900_The%20effect%20of%20Kernel%20functions_SCOPUS.pdf
http://irep.iium.edu.my/98900/13/98900_The%20effect%20of%20Kernel%20functions%20on%20cryptocurrency.pdf
http://irep.iium.edu.my/98900/
https://link.springer.com/chapter/10.1007/978-3-030-98741-1_27
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http://irep.iium.edu.my/98900/7/98900_The%20effect%20of%20Kernel%20functions_SCOPUS.pdf
http://irep.iium.edu.my/98900/13/98900_The%20effect%20of%20Kernel%20functions%20on%20cryptocurrency.pdf
http://irep.iium.edu.my/98900/
https://link.springer.com/chapter/10.1007/978-3-030-98741-1_27

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