Βιβλιογραφική επισκόπηση πρόβλεψης τιμών Bitcoin με χρήση μεθόδων μηχανικής μάθησης
A literature review on machine learning techniques for the prediction of bitcoin prices
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Keywords
Πρόβλεψη τιμών ; Cryptocurrencies ; Bitcoin ; Machine learningAbstract
Bitcoin is a crypto-currency based on open source technology that operates in a peer-to –peer grid protocol as a mechanism to facilitate private payments. This protocol operates with a sophisticated cryptography procedure supported by a network of users. Our study reviews the current literature and tries to provide information about the attributes of the bitcoin based on the latest researches. Bitcoin seem to have a number of advantages and disadvantages and creates unique challenges in the financial community. One of these challenges is the bitcoin’s price prediction. We present a number of machine learning algorithms that focus on predicting the biotin price and compare them in terms of efficiency. Finally, this study provides an insight in the potential of bitcoin, and also highlights the prerequisites, needs, implications and challenges faced by bitcoin in processing business transactions.
Postgraduate Studies Programme
Προηγμένα Συστήματα ΠληροφορικήςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
60Language
GreekCollections
Except where otherwise noted, this item's license is described as
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές