2010 Fiscal Year Final Research Report
A study on knowledge discovery based on data compression
Project/Area Number |
20300052
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Tohoku University |
Principal Investigator |
SHINOHARA Ayumi 東北大学, 大学院・情報科学研究科, 教授 (00226151)
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Project Period (FY) |
2008 – 2010
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Keywords | 知識発見とデータマイニング / データ圧縮 / 機械学習 / 人工知能 / アルゴリズム |
Research Abstract |
We studied various topics concerning with data compression and knowledge discovery, from both theoretical and practical points of view. We proposed a new similarity measure based on lossy compression, and analyzed its properties. We made several contributions on compressed string processing, combinatorial properties on the number of runs in strings, formal language theory, multi-agent system, computational learning theory, game analysis, and practical applications.
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Research Products
(15 results)
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[Presentation] Multi-Target Adaptive A*2010
Author(s)
K. Matsuta, H. Kobayashi, A. Shinohara
Organizer
The 9th International Conference on Autonomous Agents and Multi-Agent Systems
Place of Presentation
トロント(カナダ)
Year and Date
2010-05-13
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[Presentation] A Series of Run-rich strings2009
Author(s)
W. Matsubara, K. Kusano, H. Bannai, A. Shinohara
Organizer
The 3rd International Conference on Language and Automata Theory and Applications
Place of Presentation
タラゴナ(スペイン)
Year and Date
2009-04-07
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