Distribution system for japanese synthetic population data with protection level

Tadahiko Murata, Susumu Date, Yusuke Goto, Toshihiro Hanawa, Takuya Harada, Manabu Ichikawa, Hao Lee, Masaharu Munetomo, Akiyoshi Sugiki

研究成果: Conference contribution

抄録

In this paper, we introduce a distribution system of synthesized data of Japanese population using Interdisciplinary Large-scale Information Infra-structures in Japan. Synthetic population is synthesized based on the statistics of the census that are conducted by the government and publicly released. Therefore, the synthesized data have no privacy data. However, it is easy to estimate the compositions of households, working status in a certain area from the synthetic population. Therefore, we currently distribute the synthesized data only for public or academic purposes. For academic purposes, it is important to encourage scholars or researchers to use a large-scale data of households, we define protection levels for the attributes in the synthetic populations. According to the protection levels, we distribute the data with proper attributes to those who try to use them. We encourage researchers to use the synthetic populations to be familiar to large-scale data processing.

本文言語English
ホスト出版物のタイトルProceedings of 2020 International Conference on Machine Learning and Cybernetics, ICMLC 2020
出版社IEEE Computer Society
ページ187-193
ページ数7
ISBN(電子版)9780738124261
DOI
出版ステータスPublished - 2020 12月 2
外部発表はい
イベント19th International Conference on Machine Learning and Cybernetics, ICMLC 2020 - Virtual, Online
継続期間: 2020 12月 4 → …

出版物シリーズ

名前Proceedings - International Conference on Machine Learning and Cybernetics
2020-December
ISSN(印刷版)2160-133X
ISSN(電子版)2160-1348

Conference

Conference19th International Conference on Machine Learning and Cybernetics, ICMLC 2020
CityVirtual, Online
Period20/12/4 → …

ASJC Scopus subject areas

  • 人工知能
  • 計算理論と計算数学
  • 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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