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Open AccessArticle

Expected Income of New Currency in Blockchain Based on Data-Mining Technology

by Xingzhou Li 1,* and Xin Zeng 2
1
School of Mathematics, University of Manchester, Manchester M13 9PL, UK
2
School of Finance, NanKai University, Tianjin 300071, China
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(1), 160; https://doi.org/10.3390/electronics9010160
Received: 19 November 2019 / Revised: 8 January 2020 / Accepted: 11 January 2020 / Published: 15 January 2020
In order to realize the understanding of expected returns after issuance of blockchain new currency initial coin offerings (ICO) and maximize investment returns, in this study, the Semantic Orientation Pointwise Mutual Information (SO-PMI) algorithm is used to create a customer emotional dictionary of blockchain new currency, and collect users’ online comments based on blockchain currency before ICO. The Support Vector Machine (SVM) algorithm is used to construct an evaluation model, analyze and judge users’ comments, make accurate prediction of the expected return of ICO issuing new currency, improve investment operations, and maximize the return of investment. The results show that the combination of the SO-PMI and SVM algorithms can accurately evaluate the price after the issuance of new currency, and then realize the judgment of expected return and obtain the expected return of investment. It can be seen that the combination of algorithms based on data-mining technology is applied to the study of the expected return of new currency issuance in blockchain, which achieves the goal of revenue anticipation and greatly reduces the investment risk of new currency issuance in blockchain. View Full-Text
Keywords: data mining; algorithms; currency; blockchain data mining; algorithms; currency; blockchain
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Li, X.; Zeng, X. Expected Income of New Currency in Blockchain Based on Data-Mining Technology. Electronics 2020, 9, 160.

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