Block Analysis in Bitcoin System Using Clustering with Dimension Reduction

DOI

説明

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.

収録刊行物

  • IEICE Proceeding Series

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

    The Institute of Electronics, Information and Communication Engineers

キーワード

詳細情報 詳細情報について

  • CRID
    1391694356244893056
  • NII論文ID
    230000011899
  • DOI
    10.34385/proc.59.p3-4
  • ISSN
    21885079
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

問題の指摘

ページトップへ