2012 Fiscal Year Final Research Report
Effective Discovery of Hidden Structured Knowledge using Data Mining and Machine Learning
| Project/Area Number |
22500135
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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 |
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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)
HIROWATARI Eiju 北九州市立大学, 基盤教育センター, 教授 (60274429)
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| Co-Investigator(Renkei-kenkyūsha) |
KUBOYAMA Tetsuji 学習院大学, 計算機センター, 准教授 (80302660)
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| Project Period (FY) |
2010 – 2012
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| Keywords | データマイニング / 機械学習 / グラフ構造データ / 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 effective discovery of hidden structured knowledge using data mining and machine learning. As a main result, we have proposed a machine learning method for acquiring characteristic TTSP graph patterns from positive and negative data. The method is based on genetic programming for evolving solutions from structured data. Also we have proposed other learning methods for discovering knowledgefrom structured data.
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Research Products
(7 results)
