| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
When data are obtained from multiple sources concerning subjects, we develop new methods for integrating and embedding the points into an interpretable low-dimensional space. In particular, we proposed embedding methods for multiple (dis)similarity data from multiple sources and anonymized data. Specifically, our method integrates the data by combining data such as POS data, access log data, and survey data with aggregated data that were published by the government or research institutes. We proposed methods to obtain new knowledge from owned data and open data by using open data to estimate the position of the object in the interpretable space.
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