2009 Fiscal Year Final Research Report
Algorithms for Model Selection in String Pattern Discovery and String Data Classification
Project/Area Number |
20700141
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | Kyushu University |
Principal Investigator |
BANNAI Hideo Kyushu University, 大学院・システム情報科学研究院, 准教授 (20323644)
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Project Period (FY) |
2008 – 2009
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Keywords | 文字列アルゴリズム / 文字列パターン発見 |
Research Abstract |
This study is concerned with developing efficient methods for selecting a good pattern class for pattern discovery from string data, as well as classification of string data based on patterns. We developed efficient algorithms and data structures for string pattern discovery and string data classification for several different classes of patterns, namely the VLDC pattern class, and the parameterized substring pattern class.
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[Presentation] A Series of Run-rich Strings2009
Author(s)
Wataru Matsubara, Kazuhiko Kusano, Hideo Bannai, Ayumi Shinohara
Organizer
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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