Big Data- Forecasting Data Currency with R

被引:0
|
作者
Paul, Livea Rose [1 ]
Sadath, Lipsa [2 ]
机构
[1] Amity Univ, Sch Management & Commerce, Dubai, U Arab Emirates
[2] Amity Univ, Fac Software Engn, Dubai, U Arab Emirates
关键词
Cryptocurrency markets; time-series analysis; forecast; performance; volatility; R software;
D O I
10.1109/Confluence51648.2021.9377153
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data being the next oil is the most important asset in. any business. In such a scenario, analysis of historical data in organizations is essential to further predict the business market. So is the case with digital currencies. Cryptocurrencies are highly volatile investments which are subject to constant price fluctuations. This has been subject to a wide range of predictive modeling techniques used for research. The use of R in forecasting cryptocurrency prices have been considered rarely as most researches focus on popular softwares like Python. This research is a novel work aimed at demonstrating the use and working of R for data exploration, particularly in time-series analysis of Bitcoin prices.
引用
收藏
页码:286 / 291
页数:6
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