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Other literature type . 2018
License: CC BY
Data sources: Datacite
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Other literature type . 2020
License: CC BY
Data sources: Datacite
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Bitcoin’in Türkiye Piyasasındaki Değerinin Yapay Zeka Teknikleri ile Tahmini

Authors: Atlan, Furkan; İhsan Pençe; Çeşmeli, Melike Şişeci; Kalkan, Adnan;

Bitcoin’in Türkiye Piyasasındaki Değerinin Yapay Zeka Teknikleri ile Tahmini

Abstract

Abstract Crypto money is the currency that is created by the development of internet technology and the use of e-commerce, secured by cryptographic systems, is not connected to a certain authority, and is used all over the world. The crypto parcels, which have recently become quite popular, have begun to direct the financial sector. In this study, estimation of Bitcoin market value that has seen as the most popular crypto-currency, in Turkey using artificial intelligence techniques has been carried out. Successful results have shown that artificial intelligence can be used in the financial sector and can help in assessing user investments. Editor: H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey Received: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018 Copyright: © 2018 IMISC Aslan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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