Information Fusion from Semi-structured Data using Data Mining and Machine Learning
| Project/Area Number |
19500129
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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 |
Intelligent informatics
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| Research Institution | Hiroshima City University |
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Principal Investigator |
MIYAHARA Tetsuhiro Hiroshima City University, 情報科学研究科, 准教授 (90209932)
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| Co-Investigator(Kenkyū-buntansha) |
UCHIDA Tomoyuki 広島市立大学, 情報科学研究科, 准教授 (70264934)
KUBOYAMA Tetsuji 学習院大学, 計算機センター, 准教授 (80302660)
HIROWATARI Eiju 北九州市立大学, 基盤教育センター, 教授 (60274429)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2007: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | データマイニング / 機械学習 / 木構造データ / 遺伝的プログラミング |
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| Research Abstract |
We have studied data mining and machine learning from semi-structured data for knowledge discovery and information fusion. As main results, we have proposed machine learning methods for acquiring characteristic tree structured patterns from glycan data as semi-structured data. The methods are based on genetic programming for evolving solutions from structured data.
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Report
(4 results)
Research Products
(19 results)
