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

Forecasting in the financial sector has proven to be a highly important 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 functi...

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Bibliographic Details
Main Authors: Hitam, Nor Azizah, Ismail, Amelia Ritahani, Samsudin, Ruhaidah, Alkhammash, Eman H.
Format: Conference or Workshop Item
Published: 2022
Subjects:
Online Access:http://eprints.utm.my/id/eprint/100066/
http://dx.doi.org/10.1007/978-3-030-98741-1_27
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