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
相关论文
共 50 条
  • [21] Application of Big Data in Forecasting Traffic Flow
    Luo Wanbo
    Wan Xing
    Huang Min
    2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018), 2019, 1187
  • [22] Forecasting for big data: Does suboptimality matter?
    Nikolopoulos, Konstantinos
    Petropoulos, Fotios
    COMPUTERS & OPERATIONS RESEARCH, 2018, 98 : 322 - 329
  • [23] Editorial: Forecasting with Big Data in Real Time
    Antonini, Claudio
    Monokroussos, George
    INTERNATIONAL JOURNAL OF FORECASTING, 2020, 36 (03) : 1114 - 1115
  • [24] Forecasting tourism demand with multisource big data
    Li, Hengyun
    Hu, Mingming
    Li, Gang
    ANNALS OF TOURISM RESEARCH, 2020, 83
  • [25] Big data analytics and forecasting in hospitality and tourism
    Wu, Doris Chenguang
    Wu, Ji
    Song, Haiyan
    INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2021, 33 (06) : 1917 - 1921
  • [26] Using big data at Istat: forecasting consumption
    Bacchini, Fabio
    Iannaccone, Roberto
    Zurlo, Davide
    2ND INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH METHODS AND ANALYTICS (CARMA 2018), 2018, : 268 - 268
  • [27] Big Data in Weather forecasting: Applications and Challenges
    Jain, Himanshi
    Jain, Raksha
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS AND COMPUTATIONAL INTELLIGENCE (ICBDAC), 2017, : 138 - 142
  • [28] Factor-augmented forecasting in big data☆
    Bae, Juhee
    INTERNATIONAL JOURNAL OF FORECASTING, 2024, 40 (04) : 1660 - 1688
  • [29] Economic forecasting with big data: A literature review
    Lin, Wencan
    Wei, Yunjie
    JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING, 2024, 9 (02) : 254 - 270
  • [30] Energy load forecasting in big data context
    Safhi, Hicham Moad
    Frikh, Bouchra
    Ouhbi, Brahim
    2020 5TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGIES FOR DEVELOPING COUNTRIES (REDEC), 2020,