作者: Kevin Martin , Izzat Alsmadi , Mohamed Rahouti , Moussa Ayyash
DOI: 10.1109/BCCA50787.2020.9274454
关键词: Cryptocurrency 、 Scheme (programming language) 、 Artificial intelligence 、 Emerging technologies 、 Work (electrical) 、 Process (engineering) 、 Feature extraction 、 Machine learning 、 Third party 、 Blockchain 、 Computer science
摘要: Blockchain is an emerging technology that enables a vital framework for various cryptocurrency operations such as bitcoin. Notably, without any involvement from third party authorities, blockchain offers decentralized consensus scheme to process user transactions, fund transfer, and data records in secure reliable way. Furthermore, bitcoin price forecasting has been research trend, where machine learning techniques play substantial role. A sophisticated appropriately trained model can be useless if the features being tested are unreliable. Independently, one of most desirable aspects system utilizes concrete objectiveness by which each entry cataloged. Any collected reported on unambiguous, therefore, extremely suitable algorithm. To efficiently forecast movements, this work, we propose examine lenses view union, with varying degrees success.