| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Research Abstract |
Due to the computerization of industrial and scientific data, we can automatically collect or systematically obtain a huge dataset. Whereas these data are more easily accessible than before, their poor quality causes problems when we try to statistically analyze and utilize them. Many levels of information are collapsed into a single dataset since the purpose of use is ambiguous and unfixed in advance, and as a result, their quality is not sufficiently homogeneous. To address this problem, we developed novel statistical methods based on recently-emerged techniques for substructure enumeration, which can analyze those types of data by combining partial or local similarities in the data.
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