| Project/Area Number |
22530261
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Economic policy
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| Research Institution | Saitama University |
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Principal Investigator |
KOMODA Fumio 埼玉大学, 経済学部, 教授 (60116720)
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| Co-Investigator(Kenkyū-buntansha) |
KIDO Fuyuko 東京大学, 情報理工学研究科, 助教 (60527828)
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| Project Period (FY) |
2010-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 選択と集中 / 日本企業 / 技術経営 / テキストマイニング / テータマイニング / 社内知識共有 / データベース / 特許公報 / データマイニング / 社内技術共有 / テキストマイニグ / 太陽電池 / 多変量解析 |
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| Research Abstract |
The aim of this study is located in discovering the technique of text mining, which contributes to planning valid "selection and concentration" strategy of Japanese companies. In general, studies of text mining technique face to difficulties that a few important or critical words are hidden in a huge quantity of noise or meaningless words. Our study proposed two ideas or techniques in order to solve this difficulty. First, in order to make mining more accuate, original text data are given a variety of value added in digital space by attaching annotation such as words set, underline, linking origina text data with another data and so on. Second, word set are evolved in digital space or relational database in to the unmistaken direction. Finally, multivariate analysis and network analysis are applied to this coincidence matrix. Our technique is expected to discover a lot of knowledge, which will play important role in planning "selection and concentration" strategy in Japan.
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