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Trend Analyses for Blockchain Technology Innovations Using Data Analytics

Published: 06 June 2020 Publication History

Abstract

Data Visualisations have been identified to play a critical role in business decision making, wherein it acts as a bridge between decision makers and the vast amount of unstructured data. Blockchain applications are being carefully assimilated into the technological space due to Bitcoin's rapid rise in the financial market. Consequently, researchers, technologists and cryptocurrency investors can understand the posture of this technology that leads to articulate technological and financial investment strategies. This paper investigates the role of data analyses in the prominent implementation of Blockchain. We characterise the adoption of Blockchain technology by analysing two types of datasets which are text and multivariate by fitting multiple time series and geographical location to reveal unrealised opportunities for potential income and innovation. In addition, to obtain the useful trends over time a temporal data analyses to fit the Twitter dataset, was conducted. With the automated knowledge discovered this will supplement the decision makers' demand to have a valuable data-driven business strategy, which in return will deliver business or investment opportunities.

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    cover image ACM Other conferences
    ISCSIC 2019: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control
    September 2019
    397 pages
    ISBN:9781450376617
    DOI:10.1145/3386164
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 06 June 2020

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    Author Tags

    1. Blockchain
    2. Cryptocurrency
    3. Data Analytics
    4. Machine Learning
    5. Supervised Learning
    6. Time series analysis

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    ISCSIC 2019

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    ISCSIC 2019 Paper Acceptance Rate 77 of 152 submissions, 51%;
    Overall Acceptance Rate 192 of 401 submissions, 48%

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