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

• 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

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...