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
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
WASHIO Takashi 大阪大学, 産業科学研究所, 教授 (00192815)
|
|---|
| 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)
|
|---|
| Project Period (FY) |
2010 – 2012
|
| 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 |
|---|
| 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.
|
