Learning and discovering knowledge for Structured data by kernel function based on intention

• Project/Area Number: 20700135
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Single-year Grants
• Research Field: Intelligent informatics
• Research Institution: Kyoto University
• Principal Investigator: DOI Koichiro Kyoto University, 大学院・新領域創成科学研究科, 特任講師 (10345126)
• Project Period (FY): 2008 – 2010
• Project Status: Completed (Fiscal Year 2010)
• Budget Amount: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000); Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• Keywords: 機械学習 / カーネル関数 / 知識発見 / 構造データ

Research Abstract

Learning by using kernel functions has been actively researched. This study applies intentional kernel function to RNA sequence or other real data. We present a new method for finding frequent patterns from tree structured data in the case of rooted ordered tree and rooted unordered tree. We made experiments of our proposed method with some semi-structured data and show efficiency of our method.

Research Products

• [Journal Article] Kernel Functions Based on Derivation, New Frontiers in Applied Data Mining (2009)
  • Author(s): Koichiro Doi, Akihiro Yamamoto
  • Journal Title: Lecture Notes in Artificial Intelligence 5433 Pages: 111-122
  • Peer Reviewed
• [Journal Article] Kernel Functions Based on Derivation (2009)
  • Author(s): Koichiro Doi and Akihiro Yamamoto
  • Journal Title: New Frontiers in Applied Data Mining, Lecture Notes in Artificial Intelligence 5433 Pages: 111-122
  • Peer Reviewed
• [Journal Article] Proceedings of the 11th International Conference on Discovery Science (DS 2008) (2008)
  • Author(s): Seiji Murakami, Koichiro Doi, Akihiro Yamamoto
  • Journal Title: Lecture Notes in Artificial Intelligence 5255 Pages: 284-295
  • Peer Reviewed
• [Journal Article] Finding Frequent Patterns from Compressed Tree-Structured Data (2008)
  • Author(s): Seiji Murakami, Koichiro Doi and Akihiro Yamamoto
  • Journal Title: Proceedings of the 11th International Conference on Discovery Science (DS 2008), Lecture Notes in Artificial Intelligence 5255 Pages: 284-295
  • Peer Reviewed
• [Presentation] 圧縮された半構造化文書からの頻出木パターン発見 (2009)
  • Author(s): 土井晃一郎
  • Organizer: 第23回人工知能学会全国大会
  • Place of Presentation: 香川県高松市
  • Year and Date: 2009-06-18
• [Presentation] 圧縮された半構造化文書からの頻出木パターンターン発見 (2009)
  • Author(s): 土井晃一郎
  • Organizer: 第23回人工知能学会全国大会
  • Place of Presentation: 香川県高松市
  • Year and Date: 2009-06-18
• [Presentation] Kernel Functions Based on Derivation (2008)
  • Author(s): Koichiro Doi, Akihiro Yamamoto
  • Organizer: First International Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2008)
  • Place of Presentation: 大阪府大阪市
  • Year and Date: 2008-05-20
• [Presentation] Kernel Functions Based on Derivation (2008)
  • Author(s): Koichiro Doi and Akihiro Yamamoto
  • Organizer: First International Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2008)
  • Place of Presentation: 大阪
  • Year and Date: 2008-05-20