| Project/Area Number |
20700214
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
HONDA Katsuhiro Osaka Prefecture University, 工学研究科, 准教授 (80332964)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2009: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2008: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | データマイニング / クラスタリング / パターン認識 / ニューラルネットワーク / 感性情報処理 / ソフトコンピューティング / ファジィクラスタリング / データ解析 / 知識発見 |
|---|
| Research Abstract |
With the goal being to extract meaningful information from non-structural text data, several techniques for intuitively understanding intrinsic association rules were developed considering sample classification, variable selection and visualization based on linear fuzzy clustering (or local principal component analysis). Useful text-keyword maps are constructed through such techniques as automated keyword selection or core document identification by noise rejection in document grouping processes.
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