2012 Fiscal Year Final Research Report
Establishment of Statistical Estimation Principle for Super HighDimensional Data and Its Application to Large Scale Data Mining
| Project/Area Number |
22300054
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Osaka University |
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Principal Investigator |
WASHIO Takashi 大阪大学, 産業科学研究所, 教授 (00192815)
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| Co-Investigator(Renkei-kenkyūsha) |
HIGUCHI Tomoyuki 統計数理研究所, モデリング研究系, 教授 (70202273)
INOKUCHI Akihiro 大阪大学, 産業科学研究所, 助教 (70452456)
KAWAHARA Yoshinobu 大阪大学, 産業科学研究所, 助教 (00514796)
SHIMIZU Shohei 大阪大学, 産業科学研究所, 助教 (10509871)
NAKANO Shinya 統計数理研究所, モデリング研究系, 助教 (40378576)
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| Project Period (FY) |
2010 – 2012
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| Keywords | 知能発見 / データマイニング / 統計的推定 / 超高次元データ / ビッグデータ |
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| Research Abstract |
Upon analysis of dimensionality curse, we characterized “hyper-sphere concentration effect”, “probability concentration effect” and “sparsity effect”of super high dimensional data, and proposed an accurate and robust estimation method against the former two effects.
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Research Products
(10 results)
