Market Prediction in Criptocurrency: A Systematic Literature Mapping
16TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY-NEW GENERATIONS (ITNG 2019)(2019)
摘要
This article examines the main published works on predictability of cryptocurrencies from a point of view of identifying techniques, algorithms and characteristics that can improve price predictability in cryptocurrencies. This paper presents a systematic mapping of papers and classifies them into categories on type of analysis and techniques. This work can help the scientific community to better identify and structure a fairly emerging area that is the cryptocurrencies and how their markets can be studied.
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关键词
Cryptocurrency,Text mining,Prediction algorithms,Markets,Artificial intelligence
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