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

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Bibliographic Details
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/
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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/

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