2014 Fiscal Year Final Research Report
Predictive Machine Learning Methods for Graph-structured Data
Project/Area Number |
22680012
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Research Category |
Grant-in-Aid for Young Scientists (A)
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
|
Research Institution | Kyoto University (2013) The University of Tokyo (2010-2012) |
Principal Investigator |
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Project Period (FY) |
2010-04-01 – 2015-03-31
|
Keywords | 機械学習 / 人工知能 / データマイニング / グラフ構造データ / ネットワークデータ / 関係データ / 予測 |
Outline of Final Research Achievements |
Existing data analysis methods including machine learning are not readily designed for complex data with inside/outside graph structures such as chemical compounds, patent documents, social networks, and business networks. In this this research project, we developed integrated, efficient, and effective methods for such complex graph-structured data from the predictive modeling perspective, which play key roles in decision making.
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Free Research Field |
機械学習
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