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2009 Fiscal Year Final Research Report

Information Fusion from Semi-structured Data using Data Mining and Machine Learning

Research Project

  • PDF
Project/Area Number 19500129
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Intelligent informatics
Research InstitutionHiroshima City University

Principal Investigator

MIYAHARA Tetsuhiro  Hiroshima City University, 情報科学研究科, 准教授 (90209932)

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)
Project Period (FY) 2007 – 2009
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
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.

  • Research Products

    (6 results)

All 2010 2009 2008 2007

All Journal Article (4 results) (of which Peer Reviewed: 4 results) Presentation (2 results)

  • [Journal Article] Evolution of Multiple Tree Structured Patterns using Soft Clustering2010

    • Author(s)
      K. Yoshida, T. Miyahara, T. Kuboyama
    • Journal Title

      Proceedings of 2nd International Conferencae on Computer and Automation Enginering vol.5

      Pages: 749-753

    • Peer Reviewed
  • [Journal Article] Evolution of Multiple Tree Structured Patterns from Tree-Structured Data using Clustering2008

    • Author(s)
      M. Nagamine, T. Miyahara, T. Kuboyama, H. Ueda, K. Takahashi
    • Journal Title

      Proc. AI 2008, Lecture Notes in Artificial Intelligence, Springer-Verlag vol.5360

      Pages: 500-511

    • Peer Reviewed
  • [Journal Article] A Genetic Programming Approach to Extraction of Glycan Motifs Using Tree Structured Patterns2007

    • Author(s)
      M. Nagamine, T. Miyahara, T. Kuboyama, H. Ueda, K. Takahashi
    • Journal Title

      Proc. AI 2007, Lecture Notes in Artificial Intelligence, Springer-Verlag vol.4830

      Pages: 150-159

    • Peer Reviewed
  • [Journal Article] Exact Learning of Finite Unions of Graph Patterns from Queries2007

    • Author(s)
      R. Okada, S. Matsumoto, T. Uchida, Y. Suzuki, T. Shoudai
    • Journal Title

      Proc. ALT 2007, Lecture Notes in Artificial Intelligence, Springer-Verlag vol.4754

      Pages: 298-312

    • Peer Reviewed
  • [Presentation] ソフトクラスタリングを用いた複合的木構造パターンの進化的獲得2010

    • Author(s)
      吉田健吾, 宮原哲浩, 久保山哲二
    • Organizer
      人工知能学会・人工知能基本問題研究会
    • Place of Presentation
      北海道大学
    • Year and Date
      2010-03-18
  • [Presentation] クラスタリングを用いた複合的木構造パターンの進化的獲得2009

    • Author(s)
      長嶺将俊, 宮原哲浩, 久保山哲二, 上田祐彰, 高橋健一
    • Organizer
      人工知能学会・人工知能基本問題研究会
    • Place of Presentation
      学習院大学
    • Year and Date
      2009-03-14

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Published: 2011-06-18   Modified: 2016-04-21  

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