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

• Main Authors: Hitam, Nor Azizah, Ismail, Amelia Ritahani, Samsudin, Ruhaidah, Alkhammash, Eman H.
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/95674/2/Nor%20Azizah%20Hitam%2C%20Amelia%20Ritahani%20Ismail%2C%20Ruhaidah%20Samsudin%20and%20Eman%20H.%20Alkhammash_The%20Effect%20of%20Kernel%20Functions%20on%20Cryptocurrency%20Prediction%20Using%20Support%20Vector%20Machines.pdf; http://irep.iium.edu.my/95674/13/95674_The%20effect%20of%20kernel%20functions%20on%20cryptocurrency.pdf; http://irep.iium.edu.my/95674/

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 re- search and the selection of SVM parameters. Using SVM kernel func...