原田が共著の論文「Distribution System for Japanese Synthetic Population Data with Protection Level」が2020 International Conference on Machine Learning and Cybernetics (ICMLC)で出版されました．
Published in 2020 International Conference on Machine Learning and Cybernetics (ICMLC), 2020
Recommended citation: Tadahiko Murata, Susumu Date, Yusuke Goto, Toshihiro Hanawa, Takuya Harada, Manabu Ichikawa, Hao Lee, Masaharu Munetomo, Akiyoshi Sugiki: Distribution System for Japanese Synthetic Population Data with Protection Level, 2020 International Conference on Machine Learning and Cybernetics (ICMLC), p. (2020)
原田が共著の論文「Distribution System for Japanese Synthetic Population Data with Protection Level」が2020 International Conference on Machine Learning and Cybernetics (ICMLC)で出版されました．
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.