Synthetic Method for Population of A Prefecture Using Statistics of Local Governments

Tadahiko Murata, Takuya Harada

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we employ statistics of local governments in synthesizing individual households of a prefecture in order to reduce the error between synthesized statistics and real statistics. In our previous method, we employed estimated statistics of local governments with population less than 200,000 people and separately synthesize populations of local governments in a prefecture. This causes a lot of differences between the synthesized population and the real statistics. In order to reduce the errors with prefectural statistics, we simultaneously employ the statistics of smaller local governments in synthesizing population of a prefecture. Our experimental results show that the proposed method can reduce 42% to 84% errors against the previous method.

本文言語English
ホスト出版物のタイトルProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1175-1180
ページ数6
ISBN(電子版)9781538666500
DOI
出版ステータスPublished - 2019 1月 16
外部発表はい
イベント2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
継続期間: 2018 10月 72018 10月 10

出版物シリーズ

名前Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
国/地域Japan
CityMiyazaki
Period18/10/718/10/10

ASJC Scopus subject areas

  • 情報システム
  • 情報システムおよび情報管理
  • 健康情報学
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用

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