Block Analysis in Bitcoin System Using Clustering with Dimension Reduction

DOI

Description

The online cryptocurrency bitcoin, created based in blockchain technology, is attracting the attention of individuals, businesses and the government as well. As interest in blockchain technology and cryptocurrency has steadily increased over the past few years, trading volume and market size of cryptocurrency have increased at an astonishing speed. As a result, analysis and monitoring measures for blockchain networks, blocks, and transactions have become an important issue. In this paper, the method of clustering applied dimension reduction as a method of bitcoin network analysis is proposed. The proposed method applies the analysis way using K-means algorithm with PCA to block data in bitcoin collected by this research team.

Journal

  • IEICE Proceeding Series

    IEICE Proceeding Series 59 P3-4-, 2019-09-18

    The Institute of Electronics, Information and Communication Engineers

Keywords

Details 詳細情報について

  • CRID
    1391694356244893056
  • NII Article ID
    230000011899
  • DOI
    10.34385/proc.59.p3-4
  • ISSN
    21885079
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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